Scholars@Duke

• Background
• 

  Education, Training, & Certifications

  • Ph.D., Cornell University 1974
  • M.A., Cornell University 1973
  • B.A., Cornell University 1971
• 

  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
• 

  Awards & Honors

  • Highly Cited Researcher. Thomson Reuters. 2014
  • Members/ Foreign Associates. National Academy of Science. 2003
  • COPSS Award: Fisher Lecture. American Statistical Association. 2001
  • Highly Cited Researcher. Thomson Reuters. 2001
• Research
• 

  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
• 

  Selected Publications

  • Academic Articles

    • 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.
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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.
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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.
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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.
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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.
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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.
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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.
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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.
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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.
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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.
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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.
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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.
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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.
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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.
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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.
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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.
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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.
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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.
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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.
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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.
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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.
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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.
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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.
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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.
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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.
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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.
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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.
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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.
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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.
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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.
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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.
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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.
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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.
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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.
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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.
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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.
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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.
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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.
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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.
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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.
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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.
    • 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.
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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.
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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.
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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.
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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.
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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.
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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.
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    • Berger, J. “Rejoinder.” Bayesian Analysis 1, no. 3 (December 1, 2006): 457–64. https://doi.org/10.1214/06-BA116REJA.
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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.
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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.
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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.
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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.
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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.
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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.
    • Berger, J. “Discussion of "Some issues in the foundations of statistics" by David Freedman.” Foundations of Science 1 (2005): 41–44.
    • Berger, J. “Letter: Comment on "Simple counterexamples against the conditionality principle" by I.S. Helland.” American Statistician 50 (2005): 382–83.
    • Berger, J. “Discussion of "Statistical inference and Monte Carlo algoithms" by George Casella.” Test 5 (2005): 293–95.
    • 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.
    • Berger, J. “Discussion of "Replication and meta-analysis in parapsychology" by J. Utts.” Statistical Science 6 (2005): 379–82.
    • 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.
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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.
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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.
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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.
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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.
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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.
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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.
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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.
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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.
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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.
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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.
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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.
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    • Dass, S., and J. Berger. “Unified Bayesian and conditional frequent testing of composite hypoetheses.” Scandinavian Journal of Statistics, 2002.
    • 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.
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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.
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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.
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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.
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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.
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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.
    • Lee, J., and J. Berger. “Semiparametric Bayesian analysis of selection models.” J. American Statistical Association 96 (2001): 1397–1409.
    • 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.
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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.
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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.
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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.
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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.
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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.
    • 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.
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    • Berger, J. O., B. Liseo, and R. L. Wolpert. “Rejoinder.” Statistical Science 14, no. 1 (January 1, 1999): 26–28.
    • 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.
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    • Berger, J., B. Boukai, and Y. Wang. “Simultaneous Bayesian-frequentist sequential testing of nested hypotheses.” Biometrika 86 (1999): 79–92.
    • Berger, J., B. Liseo, and R. Wolpert. “Integrated likelihood methods for eliminating nuisance parameters (with discussion).” Statistical Science 14 (1999): 1–28.
    • 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.
    • 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.
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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.
    • Berger, J., and L. Pericchi. “Accurate and stable Bayesian model selection: the median intrinsic Bayes factor.” Sankhya B 60 (1998): 1–18.
    • 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.
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    • Berger, J. O., B. Boukai, and Y. Wang. “Rejoinder.” Statistical Science 12, no. 3 (January 1, 1997): 156–60.
    • 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.
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    • Berger, J., and B. Boukai. “Unification of frequentist and Bayesian testing.” 51st Session of the International Statistical Institute, 1997.
    • 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.
    • Berger, J. “Simple counterexamples against the conditionality principle - Comment.” American Statistician 50, no. 4 (November 1, 1996): 382–83.
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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.
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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.
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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.
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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.
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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.
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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.
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    • Berger, J. “Recent developments and applications of Bayesian analysis.” 50th Session of the International Statistical Institute, 1995.
    • 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.
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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.
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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.
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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.
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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.
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    • Berger, J. “An overview of robust Bayesian analysis (with Discussion).” Test 3 (1994): 5–124.
    • 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.
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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.
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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.
    • Yang, R., and J. Berger. “Estimation of a covariance matrix using the reference prior.” Ann. Statist. 22 (1994): 1195–1211.
    • 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.
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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.
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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.
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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.
    • Berger, J., and D. Sun. “Bayesian analysis for the poly-Weibull distribution.” J. Amer. Statist. Assoc. 88 (1993): 1412–18.
    • Berger, J., and M. H. Chen. “Predicting retirement patterns: prediction for a multinomial distribution with constrained parameter space.” The Statistician 42 (1993): 427–43.
    • Fong, K. H., and J. Berger. “Ranking, estimation and hypothesis testing in unbalanced models -- a Bayesian aporoach.” Statistics and Decisions 11 (1993): 1–24.
    • Oh, M. S., and J. Berger. “Integration of multimodal functions by Monte Carlo importance sampling.” J. Amer. Statist. Assoc. 88 (1993): 450–56.
    • Sivaganesan, S., and J. Berger. “Robust Bayesian analysis of the binomial empirical Bayes problem.” Canadian J. Statist. 21 (1993): 107–19.
    • 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.
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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.
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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.
    • Jeffreys, W., and J. Berger. “Ockham's razor and Bayesian analysis.” American Scientist 80 (1992): 64–72.
    • Oh, M. S., and J. Berger. “Adaptive importance sampling in Monte Carlo integration.” J. Statist. Comput. Simul. 41 (1992): 143–68.
    • 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.
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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.
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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.
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    • Berger, J. “Introduction to Statistical Multiple Integration.” Contemporary Mathematics 115 (1991).
    • Berger, J. “Extended Abstract: "Testing precise hypotheses: the conflict between classical and Bayesian approaches".” S&#233minaire De Math&#233matique Rouen, 1991, 121–25.
    • Angers, J. F., and J. Berger. “Robust hierarchical Bayes estimation of exchangeable means.” Canadian J. of Statistics 19 (1991): 39–56.
    • Berger, J., and J. Mortera. “Interpreting the stars in precise hypothesis testing.” International Statistical Review 59 (1991): 337–53.
    • 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.
    • 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.
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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.
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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.
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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.
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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.
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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.
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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.
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    • Berger, J. “Discussion of "The present position in Bayesian statistics" by D.V. Lindley.” Statist. Science 5 (1990): 71–75.
    • Berger, J. “Discussion of "Developments in decision-theoretic varience estimation" by J. Maatta and G. Casella.” Statist. Science 5 (1990): 102–3.
    • Berger, J. “Discussion of "An ancillarity paradox which appears in multiple linear regression" by L. Brown.” Ann. Statist. 18 (1990): 493–96.
    • Berger, J. “Letter: "Comment on Kempthorne (1989)".” American Statistician 44 (1990): 187–88.
    • Delampady, M., and J. Berger. “Lower bounds on posterior probabilities for multinomial and chi-squared tests.” Ann. Statist. 18 (1990): 1295–1316.
    • 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.
    • 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.
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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.
    • 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.
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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.
    • Lu, K. L., and J. Berger. “Estimation of normal means: frequentist estimation of loss.” Ann. Statist. 17 (1989): 890–906.
    • Sivaganesan, S., and J. Berger. “Ranges of posterior measures for priors with unimodal contaminations.” Ann. Statist. 17 (1989): 868–89.
    • 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.
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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.
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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.
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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.
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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.
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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.
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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.
    • Berger, J. “Discussion of "The interface between statistics and the philosophy of science" by I.J. Good.” Statistical Science 3 (1988): 403–4.
    • Berger, J., and D. Berry. “Analyzing data: Is objectivity possible?” American Scientist 76 (1988): 159–65.
    • 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.
    • O’Hagan, A., and J. Berger. “Ranges of posterior probabilities for quasiunimodal priors with specified quantiles.” J. Amer. Statist. Assoc. 83 (1988): 503–8.
    • 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.
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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.
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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.
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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.
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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.
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    • Berger, J., and M. Delampady. “Testing precise hypothesis (with Discussion).” Statist. Science 2 (1987): 317–52.
    • 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.
    • 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.
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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.
    • Berger, J. O. “Comment.” Statistical Science 1, no. 3 (January 1, 1986): 351–52. https://doi.org/10.1214/ss/1177013614.
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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.
    • 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.
    • Berger, J., and L. M. Berliner. “Robust Bayes and empirical Bayes analysis with ε-contaminated priors.” Ann. Statist. 14 (1986): 461–86.
    • DasGupta, A., and J. Berger. “Estimation of multiple gamma scale-parameters: Bayes estimation subject to uniform domination.” Commun. in Statist. 15 (1986): 2065–86.
    • Berger, J. “Discussion of "The Axions of Subjective Probability" by Peter Fishburn.” Statistical Science 1 (1986): 335–58.
    • 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.
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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.
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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.
    • 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.
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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.
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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.
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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.
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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.
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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.
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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.
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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.
    • Berger, J. “Discussion of "Parametric empirical Bayes inference: theory and applications" by Carl Morris.” J. Amer. Statist. Assoc. 78 (1983): 55–57.
    • 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.
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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.
    • Dey, D., and J. Berger. “On truncation of shrinkage estimators in simultaneous estimation of normal means.” J. Amer. Statist. Assoc. 78 (1983): 865–69.
    • Hui, S., and J. Berger. “Empirical Bayes estimation of rates in longitudinal studies.” J. Amer. Statist. Assoc. 78 (1983): 753–60.
    • 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.
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    • Berger, J. “Selecting a minimax estimator of a multivariate normal mean.” Ann. Statist. 10 (1982): 81–92.
    • Berger, J. “Bayesian robustness and the Stein effect.” J. Amer. Statist. Assoc. 77 (1982): 358–68.
    • 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.
    • 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.
    • Berger, J. “A modification of Brown's technique for proving inadmissibility.” Recent Developments in Statistical Inference and Data Analysis, 1980.
    • Berger, J. “A robust generalized Bayes estimator and confidence region for a multivariate normal mean.” Ann. Statist. 8 (1980): 716–61.
    • 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.
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    • Berger, J., and C. Srinivasan. “Generalized Bayes esimators in multivariate problems.” Ann. Statist. 6 (1978): 783–801.
    • 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.
    • Berger, J., and M. E. Bock. “Eliminating singularities of Stein-type estimators of location vectors.” J. Roy. Statist. Soc., B 38 (1977): 166–70.
    • 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.
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    • Berger, J. “Inadmissability results for generalized Bayes estimators of coordinates of a location vector.” Ann. Statist. 4 (1976): 302–33.
    • Berger, J. “Admissibility results for generalized Bayes estimators of coordinates of a location vector.” Ann. Statist. 4 (1976): 334–56.
    • Berger, J. “Admissible minimax estimation of a multivariate normal mean with arbitrary quadratic loss.” Ann. Statist. 4 (1976): 223–26.
    • Berger, J. “Tail minimaxity in location vector problems and its applications.” Ann. Statist. 4 (1976): 33–50.
    • Berger, J. “Inadmissibility results for the best invariant estimator of two coordinates of a location vector.” Ann. Statist. 4 (1976): 1065–76.
    • Berger, J., and M. E. Bock. “Combining independent normal mean estimation problems with unknown variances.” Ann. Statist. 4 (1976): 642–48.
    • Berger, J. “Minimax estimation of location vectors for a wide class of densities.” Ann. Statist. 3 (1975): 1318–28.

  • Book Sections

    • Berger, J. O. “Conditioning is the issue.” In Past, Present, and Future of Statistical Science, 253–66, 2014.
    • 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.
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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.

  • Conference Papers

    • 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.
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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.
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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.
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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.
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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.
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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.
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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.
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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.
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