James O. Berger
Arts and Sciences Distinguished Professor Emeritus of Statistics
Current Appointments & Affiliations
- Arts and Sciences Distinguished Professor Emeritus of Statistics, Statistical Science, Trinity College of Arts & Sciences 2020
- Professor Emeritus of Statistical Science, Statistical Science, Trinity College of Arts & Sciences 2020
Contact Information
- 221 Old Chemistry, Durham, NC 27708
- Box 90251, Durham, NC 27708-0251
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berger@stat.duke.edu
(919) 684-4531
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Personal site
- Background
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Education, Training, & Certifications
- Ph.D., Cornell University 1974
- M.A., Cornell University 1973
- B.A., Cornell University 1971
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Previous Appointments & Affiliations
- Arts and Sciences Distinguished Professor of Statistics, Statistical Science, Trinity College of Arts & Sciences 1997 - 2020
- Professor of Statistical Science, Statistical Science, Trinity College of Arts & Sciences 1997 - 2020
- Visiting Professor, Statistical Science, Trinity College of Arts & Sciences 1988 - 1989
- Recognition
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Awards & Honors
- Research
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Selected Grants
- HDR TRIPODS: Innovations in Data Science: Integrating Stochastic Modeling, Data Representation, and Algorithms awarded by National Science Foundation 2019 - 2023
- Collaborative Research: Using Precursor Information to Update Probabilistic Hazard Maps awarded by National Science Foundation 2018 - 2022
- Hazards SEES: Persistent volcanic crises -- resilience in the face of prolonged and uncertain risk awarded by State University of New York - Buffalo 2015 - 2019
- Collaborative Research: Advances Statistical Surrogates for Linking Multiple Computer Models with Disparate Data for Quantifying Uncertain Hazards awarded by National Science Foundation 2016 - 2019
- Bayesian Analysis and Interfaces awarded by National Science Foundation 2014 - 2019
- Collaborative Research: Statistical And Computational Models and Methods for Extracting Knowledge from Massive Disparate Data for Quantifying Uncertain Hazards awarded by National Science Foundation 2012 - 2015
- Collaborative Research: Bayesian Analysis and Applications awarded by National Science Foundation 2010 - 2015
- Hazards SEES Type 1: Persistent volcanic crises in the USA: from precursors to resilience awarded by University of Hawaii System 2013 - 2015
- Bayes 250 Conference awarded by National Science Foundation 2013 - 2014
- Statistical and Applied Mathematical Sciences Institute (Supplement) awarded by National Science Foundation 2002 - 2012
- FRG: Collaborative Research: Prediction and Risk of Extreme Events Utilizing Mathematical Computer Models of Geophysical Processes awarded by National Science Foundation 2008 - 2012
- Collaborative Research: Adaptive Experimental Design for Astronomical Exploration awarded by National Science Foundation 2005 - 2010
- Bayesian Analysis and Frequentist Interfaces awarded by National Science Foundation 2001 - 2007
- Bayesian Analysis and Frequentist Interfaces awarded by National Science Foundation 2001 - 2006
- Bayesian Analysis, Decision Theory, and Applications awarded by National Science Foundation 1998 - 2002
- Group Travel Award to the 6th Valencia International Meeting on Bayesian Statistics awarded by Army Research Office 1998 - 1999
- Group Travel Award to the 6th Valencia International Meeting in Bayesian Statistics awarded by National Science Foundation 1998 - 1999
- Publications & Artistic Works
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Selected Publications
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Academic Articles
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Mulder, J., J. O. Berger, V. Peña, and M. J. Bayarri. “On the prevalence of information inconsistency in normal linear models.” Test 30, no. 1 (March 1, 2021): 103–32. https://doi.org/10.1007/s11749-020-00704-4.Full Text
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Spiller, E. T., R. L. Wolpert, S. E. Ogburn, E. S. Calder, J. O. Berger, A. K. Patra, and E. B. Pitman. “Volcanic Hazard Assessment for an Eruption Hiatus, or Post-eruption Unrest Context: Modeling Continued Dome Collapse Hazards for Soufrière Hills Volcano.” Frontiers in Earth Science 8 (December 16, 2020). https://doi.org/10.3389/feart.2020.535567.Full Text
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Berger, J. O., D. Sun, and C. Song. “Bayesian analysis of the covariance matrix of a multivariate normal distribution with a new class of priors.” Annals of Statistics 48, no. 4 (August 1, 2020): 2381–2403. https://doi.org/10.1214/19-AOS1891.Full Text
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Berger, J. O., D. Sun, and C. Song. “An objective prior for hyperparameters in normal hierarchical models.” Journal of Multivariate Analysis 178 (July 1, 2020). https://doi.org/10.1016/j.jmva.2020.104606.Full Text
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Chang, S., and J. O. Berger. “Frequentist properties of bayesian multiplicity control for multiple testing of normal means.” Sankhya: The Indian Journal of Statistics 82A (January 1, 2020): 310–29. https://doi.org/10.1007/s13171-019-00192-1.Full Text
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Chang, S., and J. O. Berger. “Comparison of Bayesian and Frequentist Multiplicity Correction for Testing Mutually Exclusive Hypotheses Under Data Dependence.” Bayesian Analysis 16, no. 1 (January 1, 2020): 111–28. https://doi.org/10.1214/20-BA1196.Full Text
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Pe˜na, V., and J. O. Berger. “Restricted Type II Maximum Likelihood Priors on Regression Coefficients.” Bayesian Analysis 15, no. 4 (January 1, 2020): 1281–97. https://doi.org/10.1214/19-BA1188.Full Text
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Berger, J. O., and A. DasGupta. “Larry Brown's contributions to parametric inference, decision theory and foundations: A survey.” Statistical Science 34, no. 4 (November 1, 2019): 621–34. https://doi.org/10.1214/19-STS717.Full Text
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Gu, M., J. Palomo, and J. O. Berger. “RobustGaSP: Robust gaussian stochastic process emulation in R.” R Journal 11, no. 1 (June 1, 2019). https://doi.org/10.32614/rj-2019-011.Full Text
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Bayarri, M. J., D. J. Benjamin, J. O. Berger, and T. M. Sellke. “Corrigendum to “Rejection odds and rejection ratios: A proposal for statistical practice in testing hypotheses” (Journal of Mathematical Psychology (2016) 72 (90–103), (S002224961600002X) (10.1016/j.jmp.2015.12.007)).” Journal of Mathematical Psychology 89 (April 1, 2019): 98. https://doi.org/10.1016/j.jmp.2019.03.005.Full Text
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Benjamin, D. J., and J. O. Berger. “Three Recommendations for Improving the Use of p-Values.” American Statistician 73, no. sup1 (March 29, 2019): 186–91. https://doi.org/10.1080/00031305.2018.1543135.Full Text
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Berger, J. O., and L. A. Smith. “On the statistical formalism of uncertainty quantification.” Annual Review of Statistics and Its Application 6 (March 7, 2019): 433–60. https://doi.org/10.1146/annurev-statistics-030718-105232.Full Text
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Bayarri, M. J., J. O. Berger, W. Jang, S. Ray, L. R. Pericchi, and I. Visser. “Prior-based Bayesian information criterion.” Statistical Theory and Related Fields 3, no. 1 (January 2, 2019): 2–13. https://doi.org/10.1080/24754269.2019.1582126.Full Text
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Benjamin, Daniel J., James O. Berger, Magnus Johannesson, Brian A. Nosek, E. -. J. Wagenmakers, Richard Berk, Kenneth A. Bollen, et al. “Redefine statistical significance.” Nature Human Behaviour 2, no. 1 (January 2018): 6–10. https://doi.org/10.1038/s41562-017-0189-z.Full Text Open Access Copy
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Gu, M., X. Wang, and J. O. Berger. “Robust Gaussian stochastic process emulation.” Annals of Statistics 46, no. 6A (January 1, 2018): 3038–66. https://doi.org/10.1214/17-AOS1648.Full Text
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Kyzyurova, K. N., J. O. Berger, and R. L. Wolpert. “Coupling computer models through linking their statistical emulators.” Siam Asa Journal on Uncertainty Quantification 6, no. 3 (January 1, 2018): 1151–71. https://doi.org/10.1137/17M1157702.Full Text
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Gu, M., and J. O. Berger. “Parallel partial Gaussian process emulation for computer models with massive output.” Annals of Applied Statistics 10, no. 3 (September 1, 2016): 1317–47. https://doi.org/10.1214/16-AOAS934.Full Text
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Bayarri, M. J., Daniel J. Benjamin, James O. Berger, and Thomas M. Sellke. “Rejection odds and rejection ratios: A proposal for statistical practice in testing hypotheses.” Journal of Mathematical Psychology 72 (June 2016): 90–103. https://doi.org/10.1016/j.jmp.2015.12.007.Full Text
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Wang, X., and J. O. Berger. “Estimating shape constrained functions using Gaussian processes.” Siam Asa Journal on Uncertainty Quantification 4, no. 1 (January 1, 2016): 1–25. https://doi.org/10.1137/140955033.Full Text
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Berger, J. O., J. M. Bernardo, and D. Sun. “Overall objective priors.” Bayesian Analysis 10, no. 1 (March 1, 2015): 189–221. https://doi.org/10.1214/14-BA915.Full Text
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Bayarri, M. J., J. O. Berger, E. S. Calder, A. K. Patra, E. B. Pitman, E. T. Spiller, and R. L. Wolpert. “Probabilistic quantification of hazards: A methodology using small ensembles of physics-based simulations and statistical surrogates.” International Journal for Uncertainty Quantification 5, no. 4 (January 1, 2015): 297–325. https://doi.org/10.1615/Int.J.UncertaintyQuantification.2015011451.Full Text
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Berger, J., M. J. Bayarri, and L. R. Pericchi. “The Effective Sample Size.” Econometric Reviews 33, no. 1–4 (February 1, 2014): 197–217. https://doi.org/10.1080/07474938.2013.807157.Full Text
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Berger, James O., Xiaojing Wang, and Lei Shen. “A Bayesian approach to subgroup identification.” Journal of Biopharmaceutical Statistics 24, no. 1 (January 2014): 110–29. https://doi.org/10.1080/10543406.2013.856026.Full Text
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Spiller, E. T., M. J. Bayarri, J. O. Berger, E. S. Calder, A. K. Patra, E. B. Pitman, and R. L. Wolpert. “Automating emulator construction for geophysical hazard maps.” Siam Asa Journal on Uncertainty Quantification 2, no. 1 (January 1, 2014): 126–52. https://doi.org/10.1137/120899285.Full Text
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Wang, X., J. O. Berger, and D. S. Burdick. “Bayesian analysis of dynamic item response models in educational testing.” Annals of Applied Statistics 7, no. 1 (March 1, 2013): 126–53. https://doi.org/10.1214/12-AOAS608.Full Text
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Berger, J. O., J. M. Bernardo, and D. Sun. “Objective priors for discrete parameter spaces.” Journal of the American Statistical Association 107, no. 498 (August 2, 2012): 636–48. https://doi.org/10.1080/01621459.2012.682538.Full Text
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Bayarri, M. J., J. O. Berger, A. Forte, and G. García-Donato. “Criteria for bayesian model choice with application to variable selection.” Annals of Statistics 40, no. 3 (June 1, 2012): 1550–77. https://doi.org/10.1214/12-AOS1013.Full Text
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Berger, James, William Jefferys, and Peter Müller. “Bayesian Nonparametric Shrinkage Applied to Cepheid Star Oscillations.” Statistical Science : A Review Journal of the Institute of Mathematical Statistics 27, no. 1 (January 2012): 3–10. https://doi.org/10.1214/11-sts384.Full Text
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Loredo, T. J., J. O. Berger, D. F. Chernoff, M. A. Clyde, and B. Liu. “Bayesian methods for analysis and adaptive scheduling of exoplanet observations.” Statistical Methodology 9, no. 1–2 (January 1, 2012): 101–14. https://doi.org/10.1016/j.stamet.2011.07.005.Full Text
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Gilbert, Peter B., James O. Berger, Donald Stablein, Stephen Becker, Max Essex, Scott M. Hammer, Jerome H. Kim, and Victor G. Degruttola. “Statistical interpretation of the RV144 HIV vaccine efficacy trial in Thailand: a case study for statistical issues in efficacy trials.” The Journal of Infectious Diseases 203, no. 7 (April 2011): 969–75. https://doi.org/10.1093/infdis/jiq152.Full Text
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Berger, James O., Stephen E. Fienberg, Adrian E. Raftery, and Christian P. Robert. “Incoherent phylogeographic inference.” Proceedings of the National Academy of Sciences of the United States of America 107, no. 41 (October 2010): E157. https://doi.org/10.1073/pnas.1008762107.Full Text
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Scott, J. G., and J. O. Berger. “Bayes and empirical-Bayes multiplicity adjustment in the variable-selection problem.” Annals of Statistics 38, no. 5 (October 1, 2010): 2587–2619. https://doi.org/10.1214/10-AOS792.Full Text Open Access Copy
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Berger, J. “Statistical and applied mathematical sciences institute.” Wiley Interdisciplinary Reviews: Computational Statistics 1, no. 1 (December 1, 2009): 123–27. https://doi.org/10.1002/wics.11.Full Text
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Liu, F., M. J. Bayarriy, and J. O. Berger. “Modularization in Bayesian analysis, with emphasis on analysis of computer models.” Bayesian Analysis 4, no. 1 (December 1, 2009): 119–50. https://doi.org/10.1214/09-BA404.Full Text
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Bayarr, M. J., J. O. Berger, E. S. Calder, K. Dalbey, S. Lunagomez, A. K. Patra, E. B. Pitman, E. T. Spiller, and R. L. Wolpert. “Using statistical and computer models to quantify volcanic hazards.” Technometrics 51, no. 4 (November 1, 2009): 402–13. https://doi.org/10.1198/TECH.2009.08018.Full Text
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Bayarri, M. J., J. Berger, and D. M. Steinberg. “Special issue on computer modeling.” Technometrics 51, no. 4 (November 1, 2009): 353. https://doi.org/10.1198/TECH.2009.514INTRO.Full Text
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Bayarri, M. J., J. O. Berger, M. C. Kennedy, A. Kottas, R. Paulo, J. Sacks, J. A. Cafeo, C. H. Lin, and J. Tu. “Predicting vehicle crashworthiness: Validation of computer models for functional and hierarchical data.” Journal of the American Statistical Association 104, no. 487 (October 14, 2009): 929–43. https://doi.org/10.1198/jasa.2009.ap06623.Full Text
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Berger, J. O., J. M. Bernardo, and D. Sun. “The formal definition of reference priors.” Annals of Statistics 37, no. 2 (April 1, 2009): 905–38. https://doi.org/10.1214/07-AOS587.Full Text
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Berger, J. O., J. M. Bernardo, and D. Sun. “Natural induction: An objective bayesian approach.” Revista De La Real Academia De Ciencias Exactas, Fisicas Y Naturales Serie A: Matematicas 103, no. 1 (January 1, 2009): 125–35. https://doi.org/10.1007/BF03191839.Full Text
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Berger, J. O., J. M. Bernardo, and D. Sun. “Rejoinder on: Natural Induction: An Objective Bayesian Approach.” Revista De La Real Academia De Ciencias Exactas, Fisicas Y Naturales Serie A: Matematicas 103, no. 1 (January 1, 2009): 157–59. https://doi.org/10.1007/BF03191847.Full Text
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Berger, J. “A comparison of testing methodologies.” Phystat Lhc Workshop on Statistical Issues for Lhc Physics, Phystat 2007 Proceedings, December 1, 2008, 8–19.
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Liu, F., M. J. Bayarri, J. O. Berger, R. Paulo, and J. Sacks. “A Bayesian analysis of the thermal challenge problem.” Computer Methods in Applied Mechanics and Engineering 197, no. 29–32 (May 1, 2008): 2457–66. https://doi.org/10.1016/j.cma.2007.05.032.Full Text
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Berger, J. O., and D. Sun. “Objective priors for the bivariate normal model.” Annals of Statistics 36, no. 2 (April 1, 2008): 963–82. https://doi.org/10.1214/07-AOS501.Full Text
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Liang, F., R. Paulo, G. Molina, M. A. Clyde, and J. O. Berger. “Mixtures of g-priors for Bayesian Variable Selection.” Journal of the American Statistical Association 103 (2008): 110–23. https://doi.org/10.1198/016214507000001337.Full Text Link to Item
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Bayarri, M. J., J. O. Berger, J. Cafeo, G. Garcia-Donato, F. Liu, J. Palomo, R. J. Parthasarathy, R. Paulo, J. Sacks, and D. Walsh. “Computer model validation with functional output.” Annals of Statistics 35, no. 5 (October 1, 2007): 1874–1906. https://doi.org/10.1214/009053607000000163.Full Text
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Bayarri, M. J., R. Paulo, J. O. Berger, J. Sacks, J. A. Cafeo, J. Cavendish, C. H. Lin, and J. Tu. “A framework for validation of computer models.” Technometrics 49, no. 2 (May 1, 2007): 138–54. https://doi.org/10.1198/004017007000000092.Full Text
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Clyde, M. A., J. O. Berger, F. Bullard, E. B. Ford, W. H. Jefferys, R. Luo, R. Paulo, and T. Loredo. “Current challenges in Bayesian model choice.” Statistical Challenges in Modern Astronomy Iv 371 (2007): 224–40.Link to Item
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Berger, J. “The case for objective Bayesian analysis.” Bayesian Analysis 1, no. 3 (December 1, 2006): 385–402. https://doi.org/10.1214/06-BA115.Full Text
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Berger, J. “Rejoinder.” Bayesian Analysis 1, no. 3 (December 1, 2006): 457–64. https://doi.org/10.1214/06-BA116REJA.Full Text
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Scott, J. G., and J. O. Berger. “An exploration of aspects of Bayesian multiple testing.” Journal of Statistical Planning and Inference 136, no. 7 SPEC. ISS. (July 1, 2006): 2144–62. https://doi.org/10.1016/j.jspi.2005.08.031.Full Text
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Molina, G., M. J. Bayarri, and J. O. Berger. “Statistical inverse analysis for a network microsimulator.” Technometrics 47, no. 4 (November 1, 2005): 388–98. https://doi.org/10.1198/004017005000000409.Full Text
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Mukhopadhyay, N., J. K. Ghosh, and J. O. Berger. “Some Bayesian predictive approaches to model selection.” Statistics and Probability Letters 73, no. 4 (July 15, 2005): 369–79. https://doi.org/10.1016/j.spl.2005.04.012.Full Text
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Berger, J. O., W. Strawderman, and D. Tang. “Posterior propriety and admissibility of hyperpriors in normal hierarchical models.” Annals of Statistics 33, no. 2 (April 1, 2005): 606–46. https://doi.org/10.1214/009053605000000075.Full Text
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Berger, J. O., and G. Molina. “Posterior model probabilities via path-based pairwise priors.” Statistica Neerlandica 59, no. 1 (February 1, 2005): 3–15. https://doi.org/10.1111/j.1467-9574.2005.00275.x.Full Text
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Berger, J. “Discussion of "Fractional Bayes factors for model comparison" by A. O'Hagan.” J. Roy. Statist. Soc. B 57 (2005): 130–31.
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Berger, J. “Discussion of "Some issues in the foundations of statistics" by David Freedman.” Foundations of Science 1 (2005): 41–44.
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Berger, J. “Letter: Comment on "Simple counterexamples against the conditionality principle" by I.S. Helland.” American Statistician 50 (2005): 382–83.
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Berger, J. “Discussion of "Statistical inference and Monte Carlo algoithms" by George Casella.” Test 5 (2005): 293–95.
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Berger, J. “Discussion of "Why should clinicians care about Bayesian methods" by Robert A.J. Matthews.” J. Statist. Planning and Inference 94 (2005): 65–67.
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Berger, J. “Discussion of "Replication and meta-analysis in parapsychology" by J. Utts.” Statistical Science 6 (2005): 379–82.
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Barnes, T. G., W. H. Jefferys, J. O. Berger, P. J. Mueller, K. Orr, and R. Rodriguez. “Erratum: A bayesian analysis of the cepheid distance scale (The Astrophysical Journal (2003) 592 (539)).” Astrophysical Journal 611, no. 1 I (August 10, 2004): 621–22. https://doi.org/10.1086/422029.Full Text
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Barbieri, M. M., and J. O. Berger. “Optimal predictive model selection.” Annals of Statistics 32, no. 3 (June 1, 2004): 870–97. https://doi.org/10.1214/009053604000000238.Full Text
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Berger, T. O., and L. R. Pericchi. “Training samples in objective Bayesian model selection.” Annals of Statistics 32, no. 3 (June 1, 2004): 841–69. https://doi.org/10.1214/009053604000000229.Full Text
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Bayarri, M. J., and J. O. Berger. “The interplay of Bayesian and frequentist analysis.” Statistical Science 19, no. 1 (February 1, 2004): 58–80. https://doi.org/10.1214/088342304000000116.Full Text
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Bayarri, M. J., J. O. Berger, G. Molina, N. M. Rouphail, and J. Sacks. “Assessing uncertainties in traffic simulation : A key component in model calibration and validation.” Transportation Research Record, no. 1876 (January 1, 2004): 32–40. https://doi.org/10.3141/1876-04.Full Text
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Lee, J., and J. O. Berger. “Space-time modeling of vertical ozone profiles.” Environmetrics 14, no. 6 (September 1, 2003): 617–39. https://doi.org/10.1002/env.608.Full Text
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Barnes, T. G., W. H. Jefferys, J. O. Berger, P. J. Mueller, K. Orr, and R. Rodriguez. “A Bayesian analysis of the cepheid distance scale.” Astrophysical Journal 592, no. 1 I (July 20, 2003): 539–54. https://doi.org/10.1086/375583.Full Text
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Berger, J. O., J. K. Ghosh, and N. Mukhopadhyay. “Approximations and consistency of Bayes factors as model dimension grows.” Journal of Statistical Planning and Inference 112, no. 1–2 (March 1, 2003): 241–58. https://doi.org/10.1016/S0378-3758(02)00336-1.Full Text
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Berger, J. O., and R. Christensen. “Could Fisher, Jeffreys and Neyman have agreed on testing?” Statistical Science 18, no. 1 (February 1, 2003): 1–32. https://doi.org/10.1214/ss/1056397485.Full Text
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Christensen, R., W. O. Johnson, M. Lavine, S. R. Lele, D. G. Mayo, L. R. Pericchi, N. Reid, and J. O. Berger. “Could Fisher, Jeffreys and Neyman have agreed on testing? Comment.” Statistical Science 18, no. 1 (February 1, 2003): 12–32.Link to Item
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Dass, S. C., and J. O. Berger. “Unified conditional frequentist and Bayesian testing of composite hypotheses.” Scandinavian Journal of Statistics 30, no. 1 (January 1, 2003): 193–210. https://doi.org/10.1111/1467-9469.00326.Full Text
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Pérez, J. M., and J. O. Berger. “Expected-posterior prior distributions for model selection.” Biometrika 89, no. 3 (December 1, 2002): 491–511. https://doi.org/10.1093/biomet/89.3.491.Full Text
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Dass, S., and J. Berger. “Unified Bayesian and conditional frequent testing of composite hypoetheses.” Scandinavian Journal of Statistics, 2002.
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Berger, J. O., V. De Oliveira, and B. Sansó. “Objective bayesian analysis of spatially correlated data.” Journal of the American Statistical Association 96, no. 456 (December 1, 2001): 1361–74. https://doi.org/10.1198/016214501753382282.Full Text
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Mossman, D., and J. O. Berger. “Intervals for posttest probabilities: a comparison of 5 methods.” Medical Decision Making : An International Journal of the Society for Medical Decision Making 21, no. 6 (November 2001): 498–507. https://doi.org/10.1177/0272989x0102100608.Full Text
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Berger, J. O., and A. Guglielmi. “Bayesian and conditional frequentist testing of a parametric model versus nonparametric alternatives.” Journal of the American Statistical Association 96, no. 453 (March 1, 2001): 174–84. https://doi.org/10.1198/016214501750333045.Full Text
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Berger, James. “Why should clinicians care about Bayesian methods?” Journal of Statistical Planning and Inference 94, no. 1 (March 2001): 65–67. https://doi.org/10.1016/s0378-3758(00)00235-4.Full Text
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Sellke, T., M. J. Bayarri, and J. O. Berger. “Calibration of p values for testing precise null hypotheses.” American Statistician 55, no. 1 (February 1, 2001): 62–71. https://doi.org/10.1198/000313001300339950.Full Text
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Berger, J., and A. Guglielmi. “Bayesian testing of a parametric model versus nonparametric alternatives.” J. American Statistical Association 96 (2001): 174–84.
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Lee, J., and J. Berger. “Semiparametric Bayesian analysis of selection models.” J. American Statistical Association 96 (2001): 1397–1409.
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Bayarri, M. J., and J. O. Berger. “P Values for Composite Null Models.” Journal of the American Statistical Association 95, no. 452 (December 1, 2000): 1127–42. https://doi.org/10.1080/01621459.2000.10474309.Full Text
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Bayarri, M. J., and J. O. Berger. “Rejoinder.” Journal of the American Statistical Association 95, no. 452 (December 1, 2000): 1168–70. https://doi.org/10.1080/01621459.2000.10474316.Full Text
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Berger, J. O. “Bayesian Analysis: A Look at Today and Thoughts of Tomorrow.” Journal of the American Statistical Association 95, no. 452 (December 1, 2000): 1269–76. https://doi.org/10.1080/01621459.2000.10474328.Full Text
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Bayarri, M. J., and James O. Berger. “P Values for Composite Null Models.” Journal of the American Statistical Association 95, no. 452 (December 2000): 1127–1127. https://doi.org/10.2307/2669749.Full Text
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Fan, T. H., and J. O. Berger. “Robust Bayesian displays for standard inferences concerning a normal mean.” Computational Statistics and Data Analysis 33, no. 4 (June 28, 2000): 381–99. https://doi.org/10.1016/S0167-9473(99)00060-2.Full Text
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Bayarri, M. J., and J. Berger. “P-values for composite null models (with discussion).” J. Amer. Statist. Assoc. 95 (2000): 1127–42.
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Berger, J. O., and J. Mortera. “Default Bayes Factors for Nonnested Hypothesis Testing.” Journal of the American Statistical Association 94, no. 446 (June 1, 1999): 542–54. https://doi.org/10.1080/01621459.1999.10474149.Full Text
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Berger, J. O., B. Liseo, and R. L. Wolpert. “Rejoinder.” Statistical Science 14, no. 1 (January 1, 1999): 26–28.
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Berger, J. O., B. Liseo, and R. L. Wolpert. “Integrated likelihood methods for eliminating nuisance parameters.” Statistical Science 14, no. 1 (January 1, 1999): 1–22. https://doi.org/10.1214/ss/1009211804.Full Text
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Berger, J., B. Boukai, and Y. Wang. “Simultaneous Bayesian-frequentist sequential testing of nested hypotheses.” Biometrika 86 (1999): 79–92.
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Berger, J., B. Liseo, and R. Wolpert. “Integrated likelihood methods for eliminating nuisance parameters (with discussion).” Statistical Science 14 (1999): 1–28.
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Berger, J. O., A. Philippe, and C. P. Robert. “Estimation of quadratic functions: Noninformative priors for non-centrality parameters.” Statistica Sinica 8, no. 2 (April 1, 1998): 359–75.
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Bayarri, M. J., and J. Berger. “Robust Bayesian analysis of selection models.” Annals of Statistics 26, no. 2 (January 1, 1998): 645–59. https://doi.org/10.1214/aos/1028144852.Full Text
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Berger, J., L. Pericchi, and J. Varshavksy. “Bayes factors and marginal distributions in invariant situations.” Sankhya A 60 (1998): 307–21.
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Berger, J., and L. Pericchi. “Accurate and stable Bayesian model selection: the median intrinsic Bayes factor.” Sankhya B 60 (1998): 1–18.
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Sun, D., and J. O. Berger. “Reference priors with partial information.” Biometrika 85, no. 1 (January 1, 1998): 55–71. https://doi.org/10.1093/biomet/85.1.55.Full Text
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Berger, J. O., B. Boukai, and Y. Wang. “Rejoinder.” Statistical Science 12, no. 3 (January 1, 1997): 156–60.
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Berger, J. O., B. Boukai, and Y. Wang. “Unified frequentist and bayesian testing of a precise hypothesis.” Statistical Science 12, no. 3 (January 1, 1997): 133–48. https://doi.org/10.1214/ss/1030037904.Full Text
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Berger, J., and B. Boukai. “Unification of frequentist and Bayesian testing.” 51st Session of the International Statistical Institute, 1997.
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Berger, J., B. Boukai, and Y. Wang. “Unified frequentist and Bayesian testing of a precise hypothesis (with discussion).” Statistical Science 12, no. 3 (1997): 133–60.
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Berger, J. “Simple counterexamples against the conditionality principle - Comment.” American Statistician 50, no. 4 (November 1, 1996): 382–83.Link to Item
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Berger, J. O., and L. R. Pericchi. “The intrinsic bayes factor for model selection and prediction.” Journal of the American Statistical Association 91, no. 433 (March 1, 1996): 109–22. https://doi.org/10.1080/01621459.1996.10476668.Full Text
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Berger, James O., and Luis R. Pericchi. “The Intrinsic Bayes Factor for Model Selection and Prediction.” Journal of the American Statistical Association 91, no. 433 (March 1996): 109–109. https://doi.org/10.2307/2291387.Full Text
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Berger, J. O., and W. E. Strawderman. “Choice of hierarchical priors: Admissibility in estimation of normal means.” Annals of Statistics 24, no. 3 (January 1, 1996): 931–51. https://doi.org/10.1214/aos/1032526950.Full Text
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Berger, J., and I. S. Helland. “Helland, Inge S. (1995), “Simple counterexamples against the conditionality principle,” the American statistician, 49, 351-356 comment by berger and reply.” American Statistician 50, no. 4 (January 1, 1996): 382–84. https://doi.org/10.1080/00031305.1996.10473572.Full Text
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Berger, J. O., and G. Salinetti. “Approximations of Bayes decision problems: the epigraphical approach.” Annals of Operations Research 56, no. 1 (December 1, 1995): 1–13. https://doi.org/10.1007/BF02031697.Full Text
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Berger, J. “Discussion of David Freedman's "Some issues in the foundations of statistics".” Foundations of Science 1, no. 1 (March 1, 1995): 41–67. https://doi.org/10.1007/BF00208724.Full Text
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Berger, J. “Recent developments and applications of Bayesian analysis.” 50th Session of the International Statistical Institute, 1995.
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Prose, N. S. “Preface.” Seminars in Cutaneous Medicine and Surgery 14, no. 1 (January 1, 1995): 1. https://doi.org/10.1016/s1085-5629(05)80031-8.Full Text
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Berger, James O., Lawrence D. Brown, and Robert L. Wolpert. “A Unified Conditional Frequentist and Bayesian Test for Fixed and Sequential Simple Hypothesis Testing.” The Annals of Statistics 22, no. 4 (December 1, 1994). https://doi.org/10.1214/aos/1176325757.Full Text
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BERGER, J., and E. MORENO. “BAYESIAN ROBUSTNESS IN BIDIMENSIONAL MODELS - PRIOR INDEPENDENCE - REJOINDER.” Journal of Statistical Planning and Inference 40, no. 2–3 (July 1, 1994): 175–76.Link to Item
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Berger, J. O., E. Moreno, L. R. Pericchi, M. J. Bayarri, J. M. Bernardo, J. A. Cano, J. De la Horra, et al. “An overview of robust Bayesian analysis.” Test 3, no. 1 (June 1, 1994): 5–124. https://doi.org/10.1007/BF02562676.Full Text
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Sun, D., and J. O. Berger. “Bayesian sequential reliability for Weibull and related distributions.” Annals of the Institute of Statistical Mathematics 46, no. 2 (June 1, 1994): 221–49. https://doi.org/10.1007/BF01720582.Full Text
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Berger, J. “An overview of robust Bayesian analysis (with Discussion).” Test 3 (1994): 5–124.
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Berger, J., and E. Moreno. “Bayesian robustness in bidimensional models: Prior independence.” Journal of Statistical Planning and Inference 40, no. 2–3 (January 1, 1994): 161–76. https://doi.org/10.1016/0378-3758(94)90118-X.Full Text
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Berger, J., and J. Mortera. “Robust Bayesian hypothesis testing in the presence of nuisance parameters.” Journal of Statistical Planning and Inference 40, no. 2–3 (January 1, 1994): 357–73. https://doi.org/10.1016/0378-3758(94)90131-7.Full Text
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Berger, J., and R. Yang. “Noninformative priors and Bayesian testing for the AR(1) model.” Econometric Theory 10 (1994): 461–82.
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Yang, R., and J. Berger. “Estimation of a covariance matrix using the reference prior.” Ann. Statist. 22 (1994): 1195–1211.
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Sivaganesan, S., L. M. Berliner, and J. Berger. “Optimal robust credible sets for contaminated priors.” Statistics and Probability Letters 18, no. 5 (December 2, 1993): 383–88. https://doi.org/10.1016/0167-7152(93)90032-E.Full Text
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Berger, James O., and Dongchu Sun. “Bayesian Analysis for the Poly-Weibull Distribution.” Journal of the American Statistical Association 88, no. 424 (December 1993): 1412–1412. https://doi.org/10.2307/2291285.Full Text
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Oh, Man-Suk, and James O. Berger. “Integration of Multimodal Functions by Monte Carlo Importance Sampling.” Journal of the American Statistical Association 88, no. 422 (June 1993): 450–450. https://doi.org/10.2307/2290324.Full Text
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Andrews, R., J. Berger, and M. Smith. “Bayesian estimation of manufacturing effects in a fuel economy model.” J. of Applied Econometrics 8 (1993): S5–18.
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Berger, J., and D. Sun. “Bayesian analysis for the poly-Weibull distribution.” J. Amer. Statist. Assoc. 88 (1993): 1412–18.
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Berger, J., and M. H. Chen. “Predicting retirement patterns: prediction for a multinomial distribution with constrained parameter space.” The Statistician 42 (1993): 427–43.
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Fong, K. H., and J. Berger. “Ranking, estimation and hypothesis testing in unbalanced models -- a Bayesian aporoach.” Statistics and Decisions 11 (1993): 1–24.
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Oh, M. S., and J. Berger. “Integration of multimodal functions by Monte Carlo importance sampling.” J. Amer. Statist. Assoc. 88 (1993): 450–56.
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Sivaganesan, S., and J. Berger. “Robust Bayesian analysis of the binomial empirical Bayes problem.” Canadian J. Statist. 21 (1993): 107–19.
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Berger, J. O., and J. M. Bernardo. “Ordered group reference priors with application to the multinomial problem.” Biometrika 79, no. 1 (March 1, 1992): 25–37. https://doi.org/10.1093/biomet/79.1.25.Full Text
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Berger, J. O., and W. H. Jefferys. “The application of robust Bayesian analysis to hypothesis testing and Occam's Razor.” Journal of the Italian Statistical Society 1, no. 1 (February 1, 1992): 17–32. https://doi.org/10.1007/BF02589047.Full Text
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Berger, J. “A comparison of minimal Bayesian tests of precise hypotheses.” Rassegna Di Metodi Statistici Ed Applicazioni 7 (1992): 43–78.
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Jeffreys, W., and J. Berger. “Ockham's razor and Bayesian analysis.” American Scientist 80 (1992): 64–72.
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Oh, M. S., and J. Berger. “Adaptive importance sampling in Monte Carlo integration.” J. Statist. Comput. Simul. 41 (1992): 143–68.
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Ye, K., and J. O. Berger. “Noninformative priors for inferences in exponential regression models.” Biometrika 78, no. 3 (September 1, 1991): 645–56. https://doi.org/10.1093/biomet/78.3.645.Full Text
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Bayarri, M. J., and J. Berger. “Comment.” Statistical Science 6, no. 4 (January 1, 1991): 379–82. https://doi.org/10.1214/ss/1177011578.Full Text
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Berger, J. O., and J. Mortera. “Bayesian analysis with limited communication.” Journal of Statistical Planning and Inference 28, no. 1 (January 1, 1991): 1–24. https://doi.org/10.1016/0378-3758(91)90055-J.Full Text
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Berger, J. “Introduction to Statistical Multiple Integration.” Contemporary Mathematics 115 (1991).
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Berger, J. “Extended Abstract: "Testing precise hypotheses: the conflict between classical and Bayesian approaches".” Séminaire De Mathématique Rouen, 1991, 121–25.
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Angers, J. F., and J. Berger. “Robust hierarchical Bayes estimation of exchangeable means.” Canadian J. of Statistics 19 (1991): 39–56.
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Berger, J., and J. Mortera. “Interpreting the stars in precise hypothesis testing.” International Statistical Review 59 (1991): 337–53.
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Fan, T. H., and J. Berger. “Behavior of the posterior distribution and inferences for a normal mean with t prior distributions.” Statistics and Decisions 10 (1991): 99–120.
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Delampady, Mohan, and James O. Berger. “Lower Bounds on Bayes Factors for Multinomial Distributions, with Application to Chi-Squared Tests of Fit.” The Annals of Statistics 18, no. 3 (September 1, 1990). https://doi.org/10.1214/aos/1176347750.Full Text
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Berger, James. “Discussion: An Ancillarity Paradox which Appears in Multiple Linear Regression.” The Annals of Statistics 18, no. 2 (June 1, 1990). https://doi.org/10.1214/aos/1176347603.Full Text
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BERGER, J. “THE FATE WORSE THAN DEATH AND OTHER CURIOSITIES AND STUPIDITIES - COMMENT.” American Statistician 44, no. 2 (May 1, 1990): 187–88.Link to Item
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Berger, J. O. “Comment.” Statistical Science 5, no. 1 (January 1, 1990): 71–75. https://doi.org/10.1214/ss/1177012255.Full Text
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Berger, J. O. “Comment.” Statistical Science 5, no. 1 (January 1, 1990): 102–3. https://doi.org/10.1214/ss/1177012264.Full Text
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Berger, J. O. “Robust Bayesian analysis: sensitivity to the prior.” Journal of Statistical Planning and Inference 25, no. 3 (January 1, 1990): 303–28. https://doi.org/10.1016/0378-3758(90)90079-A.Full Text
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Berger, J. O. “On the inadmissibility of unbiased estimators.” Statistics and Probability Letters 9, no. 5 (January 1, 1990): 381–84. https://doi.org/10.1016/0167-7152(90)90028-6.Full Text
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Berger, J. “Discussion of "The present position in Bayesian statistics" by D.V. Lindley.” Statist. Science 5 (1990): 71–75.
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Berger, J. “Discussion of "Developments in decision-theoretic varience estimation" by J. Maatta and G. Casella.” Statist. Science 5 (1990): 102–3.
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Berger, J. “Discussion of "An ancillarity paradox which appears in multiple linear regression" by L. Brown.” Ann. Statist. 18 (1990): 493–96.
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Berger, J. “Letter: "Comment on Kempthorne (1989)".” American Statistician 44 (1990): 187–88.
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Delampady, M., and J. Berger. “Lower bounds on posterior probabilities for multinomial and chi-squared tests.” Ann. Statist. 18 (1990): 1295–1316.
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Fan, T. H., and J. Berger. “Exact convolution of t-distribution with application to Bayesian inference for a normal mean with t prior distributions.” J. Statist. Computation and Simulation 36 (1990): 209–28.
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Berger, James O., and Jose M. Bernardo. “Estimating a Product of Means: Bayesian Analysis with Reference Priors.” Journal of the American Statistical Association 84, no. 405 (March 1989): 200–200. https://doi.org/10.2307/2289864.Full Text
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Berger, J., and J. M. Bernardo. “Estimating a product of means: Bayesian analysis with reference priors.” J. Amer. Statist. Assoc. 84 (1989): 200–207.
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Lu, K. L., and J. O. Berger. “Estimated confidence procedures for multivariate normal means.” Journal of Statistical Planning and Inference 23, no. 1 (January 1, 1989): 1–19. https://doi.org/10.1016/0378-3758(89)90035-9.Full Text
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Berger, J., and C. Robert. “Subjective hierarchical Bayes estimation of a multivariate normal mean: on the frequentist interface.” Ann. Statist. 18 (1989): 617–51.
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Lu, K. L., and J. Berger. “Estimation of normal means: frequentist estimation of loss.” Ann. Statist. 17 (1989): 890–906.
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Sivaganesan, S., and J. Berger. “Ranges of posterior measures for priors with unimodal contaminations.” Ann. Statist. 17 (1989): 868–89.
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Berger, James. “Bayesian Variable Selection in Linear Regression: Comment.” Journal of the American Statistical Association 83, no. 404 (December 1988): 1033–1033. https://doi.org/10.2307/2290130.Full Text
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Berger, James O., and John Deely. “A Bayesian Approach to Ranking and Selection of Related Means With Alternatives to Analysis-of-Variance Methodology.” Journal of the American Statistical Association 83, no. 402 (June 1988): 364–364. https://doi.org/10.2307/2288851.Full Text
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O’Hagan, Anthony, and James O. Berger. “Ranges of Posterior Probabilities for Quasiunimodal Priors With Specified Quantiles.” Journal of the American Statistical Association 83, no. 402 (June 1988): 503–503. https://doi.org/10.2307/2288869.Full Text
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BERGER, J. O., and D. A. BERRY. “STATISTICAL-ANALYSIS AND THE ILLUSION OF OBJECTIVITY.” American Scientist 76, no. 2 (March 1, 1988): 159–65.Link to Item
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Berger, J. O. “Comment.” Statistical Science 3, no. 4 (January 1, 1988): 403–4. https://doi.org/10.1214/ss/1177012757.Full Text
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Berger, J. “Comment.” Journal of the American Statistical Association 83, no. 404 (January 1, 1988): 1033–34. https://doi.org/10.1080/01621459.1988.10478695.Full Text
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Berger, J. “Discussion of "Bayesian variable selection in linear regression" by T.J. Mitchell and J.J. Beauchamp.” J. Amer. Statist. Assoc. 83 (1988): 1033–34.
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Berger, J. “Discussion of "The interface between statistics and the philosophy of science" by I.J. Good.” Statistical Science 3 (1988): 403–4.
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Berger, J., and D. Berry. “Analyzing data: Is objectivity possible?” American Scientist 76 (1988): 159–65.
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Berger, J., and J. Deely. “A Bayesian approach to ranking and selection of related means with alternatives to AOV methodology.” J. Amer. Statist. Assoc. 83 (1988): 364–73.
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O’Hagan, A., and J. Berger. “Ranges of posterior probabilities for quasiunimodal priors with specified quantiles.” J. Amer. Statist. Assoc. 83 (1988): 503–8.
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Berger, James O., and Thomas Sellke. “Testing a Point Null Hypothesis: The Irreconcilability of P Values and Evidence.” Journal of the American Statistical Association 82, no. 397 (March 1987): 112–112. https://doi.org/10.2307/2289131.Full Text
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Berger, J. O., and M. Delampady. “Testing precise hypotheses.” Statistical Science 2, no. 3 (January 1, 1987): 317–35. https://doi.org/10.1214/ss/1177013238.Full Text
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Berger, J. O., and M. Delampady. “Rejoinder.” Statistical Science 2, no. 3 (January 1, 1987): 348–52. https://doi.org/10.1214/ss/1177013245.Full Text
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Berger, J. O., and T. Sellke. “Rejoinder.” Journal of the American Statistical Association 82, no. 397 (January 1, 1987): 135–39. https://doi.org/10.1080/01621459.1987.10478405.Full Text
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Berger, J. O., and T. Sellke. “Testing a point null hypothesis: The irreconcilability of P values and evidence.” Journal of the American Statistical Association 82, no. 397 (January 1, 1987): 112–22. https://doi.org/10.1080/01621459.1987.10478397.Full Text
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Berger, J., and M. Delampady. “Testing precise hypothesis (with Discussion).” Statist. Science 2 (1987): 317–52.
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Berger, J., and T. Selke. “Testing of a point null hypothesis: The irreconcilability of significance levels and evidence (with Discussion).” J. Amer. Statist. Assoc. 82 (1987): 112–39.
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Berger, James. “Discussion: On the Consistency of Bayes Estimates.” The Annals of Statistics 14, no. 1 (March 1, 1986). https://doi.org/10.1214/aos/1176349832.Full Text
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Angers, J. F., and J. Berger. “The Stein effect and Bayesian analysis: A reexamination.” Commun. in Statist. 15 (1986): 2005–24.
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Berger, J. O. “Comment.” Statistical Science 1, no. 3 (January 1, 1986): 351–52. https://doi.org/10.1214/ss/1177013614.Full Text
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Berger, J. “Discussion of "On the consistency of Bayes estimates" by P. Diaconis and D. Freedman.” Ann. Statist. 13 (1986): 30–36.
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Berger, J. “Discussion of "On Principles and Arguments to Likelihood" by M. Evans, D. Fraser, and G. Monette.” Canadian J. of Statist. 14 (1986): 181–99.
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Berger, J., and L. M. Berliner. “Robust Bayes and empirical Bayes analysis with ε-contaminated priors.” Ann. Statist. 14 (1986): 461–86.
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DasGupta, A., and J. Berger. “Estimation of multiple gamma scale-parameters: Bayes estimation subject to uniform domination.” Commun. in Statist. 15 (1986): 2065–86.
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Berger, J. “Discussion of "The Axions of Subjective Probability" by Peter Fishburn.” Statistical Science 1 (1986): 335–58.
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Berger, James O. “Abraham Wald's Work on Aircraft Survivability: Comment.” Journal of the American Statistical Association 79, no. 386 (June 1984): 267–267. https://doi.org/10.2307/2288258.Full Text
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Berger, J. O. “Comment.” Journal of the American Statistical Association 79, no. 386 (January 1, 1984): 267–69. https://doi.org/10.1080/01621459.1984.10478039.Full Text
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Berger, J. “Discussion of "Abraham Wald's work on aircraft survivability" by M. Mangel and F. Samaniego.” J. Amer. Statist. Assoc. 79 (1984): 267–70.
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Berger, J., and L. M. Berliner. “Bayesian input in Stein estimation and a new minimax empirical Bayes estimator.” Journal of Econometrics 25, no. 1–2 (January 1, 1984): 87–108. https://doi.org/10.1016/0304-4076(84)90039-3.Full Text
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Dey, Dipak K., and James O. Berger. “On Truncation of Shrinkage Estimators in Simultaneous Estimation of Normal Means.” Journal of the American Statistical Association 78, no. 384 (December 1983): 865–865. https://doi.org/10.2307/2288197.Full Text
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Hui, Siu L., and James O. Berger. “Empirical Bayes Estimation of Rates in Longitudinal Studies.” Journal of the American Statistical Association 78, no. 384 (December 1983): 753–753. https://doi.org/10.2307/2288179.Full Text
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Berger, James O. “Discussion: Construction of Improved Estimators in Multiparameter Estimation for Discrete Exponential Families.” The Annals of Statistics 11, no. 2 (June 1, 1983). https://doi.org/10.1214/aos/1176346144.Full Text
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Berger, James. “Parametric Empirical Bayes Inference: Theory and Applications: Comment.” Journal of the American Statistical Association 78, no. 381 (March 1983): 55–55. https://doi.org/10.2307/2287099.Full Text
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Berger, J. O., and D. K. Dey. “Combining coordinates in simultaneous estimation of normal means.” Journal of Statistical Planning and Inference 8, no. 2 (January 1, 1983): 143–60. https://doi.org/10.1016/0378-3758(83)90034-4.Full Text
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Berger, J. “Comment.” Journal of the American Statistical Association 78, no. 381 (January 1, 1983): 55–57. https://doi.org/10.1080/01621459.1983.10477921.Full Text
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Berger, J. “Discussion of "Construction of improved estimators in multivariate estimation for exponential families" by Ghosh, Hwang, and Tsui.” Ann. Statist. 11 (1983): 368–69.
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Berger, J. “Discussion of "Parametric empirical Bayes inference: theory and applications" by Carl Morris.” J. Amer. Statist. Assoc. 78 (1983): 55–57.
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Berger, J., and R. Wolpert. “Estimating the mean function of a Gaussian process and the Stein effect.” Journal of Multivariate Analysis 13, no. 3 (January 1, 1983): 401–24. https://doi.org/10.1016/0047-259X(83)90018-0.Full Text
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Berger, J., and L. Haff. “A class of minimax estimators of a normal mean vector for arbitrary quadratic loss and unknown covariance matrix.” Statistics and Decisions 1 (1983): 105–29.
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Dey, D., and J. Berger. “On truncation of shrinkage estimators in simultaneous estimation of normal means.” J. Amer. Statist. Assoc. 78 (1983): 865–69.
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Hui, S., and J. Berger. “Empirical Bayes estimation of rates in longitudinal studies.” J. Amer. Statist. Assoc. 78 (1983): 753–60.
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Berger, James. “Bayesian Robustness and the Stein Effect.” Journal of the American Statistical Association 77, no. 378 (June 1982): 358–358. https://doi.org/10.2307/2287253.Full Text
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Berger, J. “Selecting a minimax estimator of a multivariate normal mean.” Ann. Statist. 10 (1982): 81–92.
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Berger, J. “Bayesian robustness and the Stein effect.” J. Amer. Statist. Assoc. 77 (1982): 358–68.
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Berger, J., L. M. Berliner, and A. Zaman. “General admissibility and inadmissibility results for estimation in a control problem.” Ann. Statist. 10 (1982): 838–56.
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Berger, J. “Improving on inadmissible estimators in continuous exponential families with applications to simultaneous estimation of gamma scale parameters.” Ann. Statist. 8 (1980): 545–71.
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Berger, J. “A modification of Brown's technique for proving inadmissibility.” Recent Developments in Statistical Inference and Data Analysis, 1980.
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Berger, J. “A robust generalized Bayes estimator and confidence region for a multivariate normal mean.” Ann. Statist. 8 (1980): 716–61.
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Berger, J. O. “Minimax estimation of a multivariate normal mean under polynomial loss.” Journal of Multivariate Analysis 8, no. 2 (January 1, 1978): 173–80. https://doi.org/10.1016/0047-259X(78)90070-2.Full Text
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Berger, J., and C. Srinivasan. “Generalized Bayes esimators in multivariate problems.” Ann. Statist. 6 (1978): 783–801.
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Berger, J., M. E. Bock, L. D. Brown, G. Casella, and L. Gleser. “Minimax estimation of a normal mean vector for arbitrary quadratic loss and unknown covariance matrix.” Ann. Statist. 5 (1977): 763–71.
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Berger, J., and M. E. Bock. “Eliminating singularities of Stein-type estimators of location vectors.” J. Roy. Statist. Soc., B 38 (1977): 166–70.
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Berger, J. “Minimax estimation of a multivariate normal mean under arbitrary quadratic loss.” Journal of Multivariate Analysis 6, no. 2 (January 1, 1976): 256–64. https://doi.org/10.1016/0047-259X(76)90035-X.Full Text
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Berger, J. “Inadmissability results for generalized Bayes estimators of coordinates of a location vector.” Ann. Statist. 4 (1976): 302–33.
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Berger, J. “Admissibility results for generalized Bayes estimators of coordinates of a location vector.” Ann. Statist. 4 (1976): 334–56.
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Berger, J. “Admissible minimax estimation of a multivariate normal mean with arbitrary quadratic loss.” Ann. Statist. 4 (1976): 223–26.
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Berger, J. “Tail minimaxity in location vector problems and its applications.” Ann. Statist. 4 (1976): 33–50.
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Berger, J. “Inadmissibility results for the best invariant estimator of two coordinates of a location vector.” Ann. Statist. 4 (1976): 1065–76.
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Berger, J., and M. E. Bock. “Combining independent normal mean estimation problems with unknown variances.” Ann. Statist. 4 (1976): 642–48.
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Berger, J. “Minimax estimation of location vectors for a wide class of densities.” Ann. Statist. 3 (1975): 1318–28.
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Book Sections
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Berger, J. O. “Conditioning is the issue.” In Past, Present, and Future of Statistical Science, 253–66, 2014.
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Bernardo, J. M., M. J. Bayarri, J. O. Berger, A. P. Dawid, D. Heckerman, A. F. M. Smith, and M. West. “Preface,” Vol. 9780199694587, 2012. https://doi.org/10.1093/acprof:oso/9780199694587.002.0004.Full Text
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Berger, J. O. “Bayesian analysis: A look at today and thoughts of tomorrow.” In Statistics in the 21st Century, 275–90, 2001.
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Conference Papers
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Bernardo, J. M., M. J. Bayarri, J. O. Berger, A. P. Dawid, D. Heckerman, A. F. M. Smith, and M. West. “Bayesian Statistics 9.” In Bayesian Statistics 9, 9780199694587:1–720, 2012. https://doi.org/10.1093/acprof:oso/9780199694587.001.0001.Full Text
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Bayarri, M. J., J. O. Berger, and G. Molina. “Incorporating uncertainties into traffic simulators.” In Recent Advances in Modeling and Simulation Tools for Communication Networks and Services, 331–47, 2007. https://doi.org/10.1007/978-0-387-73908-3_17.Full Text
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Berger, James. “A statistician's perspective on Astrostatistics.” In Statistical Challenges in Modern Astronomy Iv, edited by G. J. Babu and E. D. Feigelson, 371:373–81. ASTRONOMICAL SOC PACIFIC, 2007.Link to Item
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Berger, J. O., and G. Molina. “Some recent developments in Bayesian variable selection.” In Bayesian Inference and Maximum Entropy Methods in Science and Engineering, edited by R. Fischer, R. Preuss, and U. VonToussaint, 735:417–28. AMER INST PHYSICS, 2004.Link to Item
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Berger, J. O., and A. Connors. “Some recent developments in Bayesian analysis, with astronomical illustrations.” In Statistical Challenges in Modern Astronomy Ii, edited by G. J. Babu and E. D. Feigelson, 15–48. SPRINGER-VERLAG, 1997.Link to Item
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WANG, Y., J. O. BERGER, and B. BOUKAI. “A Bayesian testing procedure with valid conditional frequentist interpretation.” In American Statistical Association 1994 Proceedings of the Section on Bayesian Statistical Science, 187–95. AMER STATISTICAL ASSOC, 1994.Link to Item
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BERGER, J. O. “THE PRESENT AND FUTURE OF BAYESIAN MULTIVARIATE-ANALYSIS.” In Multivariate Analysis: Future Directions, edited by C. R. Rao, 5:25–53. ELSEVIER SCIENCE PUBL B V, 1993.Link to Item
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Berger, James O., William H. Jefferys, Peter Muller, and Thomas G. Barnes. “Bayesian Model Selection and Analysis for Cepheid Star Oscillations,” 71–88. Springer-Verlag, n.d. https://doi.org/10.1007/0-387-21529-8_5.Full Text
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