Journal of the American Statistical Association
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Publication Venue For
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Comparing and Weighting Imperfect Models Using D-Probabilities.
115:1349-1360.
2020
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Multivariate Bayesian Predictive Synthesis in Macroeconomic Forecasting.
115:1092-1110.
2020
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Bayesian Graphical Compositional Regression for Microbiome Data.
115:610-624.
2020
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Bayesian Factor Analysis for Inference on Interactions
2020
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Likelihood-Based Inference for Partially Observed Epidemics on Dynamic Networks
2020
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Robust Clustering with Subpopulation-specific Deviations..
115:521-537.
2020
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Targeted Random Projection for Prediction From High-Dimensional Features.
115:1998-2010.
2020
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Bayesian Model Comparison with the Hyvärinen Score: Computation and Consistency.
114:1826-1837.
2019
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Optimal Sparse Singular Value Decomposition for High-Dimensional High-Order Data.
114:1708-1725.
2019
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Diagnosing Glaucoma Progression With Visual Field Data Using a Spatiotemporal Boundary Detection Method.
114:1063-1074.
2019
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MCMC for Imbalanced Categorical Data.
114:1394-1403.
2019
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Valid Post-Selection Inference in High-Dimensional Approximately Sparse Quantile Regression Models.
114:749-758.
2019
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Discussion of “Penalized Spline of Propensity Methods for Treatment Comparison”.
114:32-35.
2019
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Fisher Exact Scanning for Dependency.
114:245-258.
2019
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Nonparametric Bayes Models of Fiber Curves Connecting Brain Regions..
114:1505-1517.
2019
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Robust Bayesian inference via coarsening..
114:1113-1125.
2019
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Bayesian Semiparametric Mixed Effects Markov Models With Application to Vocalization Syntax.
113:1515-1527.
2018
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Fast Moment Estimation for Generalized Latent Dirichlet Models.
113:1528-1540.
2018
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Inference Under Covariate-Adaptive Randomization.
113:1784-1796.
2018
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Efficient Functional ANOVA Through Wavelet-Domain Markov Groves.
113:802-818.
2018
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Scalable Bayesian Modeling, Monitoring, and Analysis of Dynamic Network Flow Data.
113:519-533.
2018
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Balancing Covariates via Propensity Score Weighting.
113:390-400.
2018
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Bayesian Approximate Kernel Regression with Variable Selection..
113:1710-1721.
2018
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Interpretable Dynamic Treatment Regimes..
113:1541-1549.
2018
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On the Null Distribution of Bayes Factors in Linear Regression..
113:1362-1371.
2018
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Bayesian Simultaneous Edit and Imputation for Multivariate Categorical Data.
112:1708-1719.
2017
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Nonparametric Bayes Modeling of Populations of Networks.
112:1516-1530.
2017
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Rejoinder: Nonparametric Bayes Modeling of Populations of Networks.
112:1547-1552.
2017
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Joint estimation of quantile planes over arbitrary predictor spaces.
112:1107-1120.
2017
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Geometric Representations of Random Hypergraphs.
112:363-383.
2017
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Randomization Inference and Sensitivity Analysis for Composite Null Hypotheses With Binary Outcomes in Matched Observational Studies.
112:321-331.
2017
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Robust Jump Regressions.
112:332-341.
2017
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Extrinsic local regression on manifold-valued data..
112:1261-1273.
2017
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A Bayesian Approach to Graphical Record Linkage and Deduplication.
111:1660-1672.
2016
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Bayesian Nonparametric Modeling of Higher Order Markov Chains.
111:1791-1803.
2016
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Multiple Imputation of Missing Categorical and Continuous Values via Bayesian Mixture Models With Local Dependence.
111:1466-1479.
2016
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Hierarchical Nearest-Neighbor Gaussian Process Models for Large Geostatistical Datasets.
111:800-812.
2016
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Structured Matrix Completion with Applications to Genomic Data Integration.
111:621-633.
2016
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Instrumental Variables Estimation With Some Invalid Instruments and its Application to Mendelian Randomization.
111:132-144.
2016
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Bayesian Conditional Tensor Factorizations for High-Dimensional Classification..
111:656-669.
2016
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Joint Inference for Competing Risks Survival Data..
111:1289-1300.
2016
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Dirichlet-Laplace priors for optimal shrinkage..
110:1479-1490.
2015
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Bayesian Compressed Regression.
110:1500-1514.
2015
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Comment.
110:1449-1451.
2015
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Simultaneous Edit-Imputation for Continuous Microdata.
110:987-999.
2015
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Scalable Bayesian Model Averaging Through Local Information Propagation.
110:795-809.
2015
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A Dynamic Directional Model for Effective Brain Connectivity using Electrocorticographic (ECoG) Time Series..
110:93-106.
2015
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Review of Age-Period-Cohort Analysis: New Models, Methods, and Empirical Applications.
110:457-457.
2015
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Reply.
110:457.
2015
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Bayesian factorizations of big sparse tensors..
110:1562-1576.
2015
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Testing for nodal dependence in relational data matrices..
110:1037-1046.
2015
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Modeling Space and Space-Time Directional Data Using Projected Gaussian Processes.
109:1565-1580.
2014
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Bayesian Multiscale Modeling of Closed Curves in Point Clouds..
109:1481-1494.
2014
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Comment.
109:890-891.
2014
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Mechanistic Hierarchical Gaussian Processes..
109:894-904.
2014
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Bayes variable selection in semiparametric linear models..
109:437-447.
2014
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Enriched Stick Breaking Processes for Functional Data..
109:647-660.
2014
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Simulated method of moments estimation for copula-based multivariate models.
108:689-700.
2013
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Bayesian Gaussian Copula Factor Models for Mixed Data..
108:656-665.
2013
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Classification via bayesian nonparametric learning of affine subspaces.
108:187-201.
2013
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Adaptive testing of conditional association through recursive mixture modeling.
108:1493-1505.
2013
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Bayesian modeling of temporal dependence in large sparse contingency tables..
108:1324-1338.
2013
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Local linear regression on manifolds and its geometric interpretation.
108:1421-1434.
2013
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Locally Adaptive Bayes Nonparametric Regression via Nested Gaussian Processes..
108.
2013
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The international year of statistics: A celebration and a call to action.
108:1141-1146.
2013
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Bayesian spatio-dynamic modeling in cell motility studies: Learning nonlinear taxic fields guiding the immune response.
107:855-865.
2012
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Rejoinder.
107:871-874.
2012
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Estimating Identification Disclosure Risk Using Mixed Membership Models..
107:1385-1394.
2012
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Nonparametric Bayesian multiple imputation for missing data due to mid-study switching of measurement methods.
107:439-449.
2012
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Objective priors for discrete parameter spaces.
107:636-648.
2012
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Simplex Factor Models for Multivariate Unordered Categorical Data..
107:362-377.
2012
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Inverse realized laplace transforms for nonparametric volatility density estimation in jump-diffusions.
107:622-635.
2012
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Nonparametric Bayes Modeling of Multivariate Categorical Data..
104:1042-1051.
2012
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A bayesian semiparametric approach to intermediate variables in causal inference.
106:1331-1344.
2011
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Bayesian Kernel Mixtures for Counts..
106:1528-1539.
2011
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Coupling optional pólya trees and the two sample problem.
106:1553-1565.
2011
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Rao-blackwellization for Bayesian variable selection and model averaging in linear and binary regression: A novel data augmentation approach.
106:1041-1052.
2011
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Nonparametric Bayes Stochastically Ordered Latent Class Models..
106:807-817.
2011
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Bayesian Spatial Quantile Regression..
106:6-20.
2011
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Predicting Viral Infection From High-Dimensional Biomarker Trajectories..
106:1259-1279.
2011
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Sampling with synthesis: A new approach for releasing public use census microdata.
105:1347-1357.
2010
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Using a short screening scale for small-area estimation of mental illness prevalence for schools..
105:1323-1332.
2010
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Bayesian variable selection in structured high-dimensional covariate spaces with applications in genomics.
105:1202-1214.
2010
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Dynamic nonparametric bayesian models for analysis of music.
105:458-472.
2010
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Latent Stick-Breaking Processes..
105:647-659.
2010
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Regularized reconstruction of wave height and slope fields from refracted images of water.
105:36-47.
2010
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Nonparametric Bayes Conditional Distribution Modeling With Variable Selection..
104:1646-1660.
2009
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Predicting vehicle crashworthiness: Validation of computer models for functional and hierarchical data.
104:929-943.
2009
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Adversarial risk analysis.
104:841-854.
2009
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Bayesian semiparametric joint models for functional predictors..
104:26-36.
2009
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High-Dimensional Sparse Factor Modeling: Applications in Gene Expression Genomics..
103:1438-1456.
2008
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Analysis of Smoking Cessation Patterns Using a Stochastic Mixed-Effects Model With a Latent Cured State..
103:1002-1013.
2008
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Multiple model evaluation absent the gold standard through model combination.
103:897-909.
2008
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The nested Dirichlet process: Rejoinder.
103:1153-1154.
2008
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Bayesian selection and clustering of polymorphisms in functionally related genes.
103:534-546.
2008
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Comment.
103:40-41.
2008
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Mixtures of g priors for Bayesian variable selection.
103:410-423.
2008
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The matrix stick-breaking process: Flexible Bayes meta-analysis.
103:317-327.
2008
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Bayesian Inference on Changes in Response Densities over Predictor Clusters..
103:1508-1517.
2008
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The nested dirichlet process.
103:1131-1154.
2008
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Bayesian multivariate isotonic regression splines: Applications to carcinogenicity studies.
102:1158-1171.
2007
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The multiple adaptations of multiple imputation.
102:1462-1471.
2007
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Comment.
102:782-784.
2007
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Rejoinder.
102:785-787.
2007
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Structured measurement error in nutritional epidemiology: Applications in the pregnancy, infection, and nutrition (PIN) study.
102:856-866.
2007
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Subjective likelihood for the assessment of trends in the ocean's mixed-layer depth.
102:771-780.
2007
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Shotgun stochastic search for "large p" regression.
102:507-516.
2007
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High Resolution Space-Time Ozone Modeling for Assessing Trends..
102:1221-1234.
2007
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Testing forecast optimality under unknown loss.
102:1172-1184.
2007
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Bayesian Wombling: Curvilinear Gradient Assessment Under Spatial Process Models..
101:1487-1501.
2006
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A statistical measure of regularity for the study of wind-generated wave field images.
101:1119-1131.
2006
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Comment.
101:107-108.
2006
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Journal of the American Statistical Association: Comment.
101:104-118.
2006
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Estimating risks of identification disclosure in microdata.
100:1103-1112.
2005
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Bayesian nonparametric spatial modeling with dirichlet process mixing.
100:1021-1035.
2005
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Bayesian semiparametric isotonic regression for count data.
100:618-627.
2005
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Missing-data methods for generalized linear models: A comparative review.
100:332-346.
2005
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Classification of Missense Mutations of Disease Genes..
100:51-60.
2005
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Population-Calibrated Gene Characterization: Estimating Age at Onset Distributions Associated With Cancer Genes..
100:399-409.
2005
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Modified large-sample confidence intervals for linear combinations of variance components: Extension, theory, and application.
99:467-478.
2004
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Monte carlo smoothing for nonlinear time series.
99:156-168.
2004
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Directional Rates of Change under Spatial Process Models.
98:946-954.
2003
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Dynamic Latent Trait Models for Multidimensional Longitudinal Data.
98:555-563.
2003
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Cross-calibration of Stroke disability measures: Bayesian analysis of longitudinal ordinal categorical data using negative dependence.
98:273-281.
2003
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Spatial modeling with spatially varying coefficient processes.
98:387-396.
2003
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Bayesian modeling of markers of day-specific fertility.
98:28-37.
2003
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A bayesian model for detecting acute change in nonlinear profiles.
96:1215-1222.
2001
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Bayesian semiparametric median regression modeling.
96:1458-1468.
2001
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Marginal mean models for dynamic regimes.
96:1410-1423.
2001
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Objective bayesian analysis of spatially correlated data.
96:1361-1374.
2001
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Semiparametric bayesian analysis of selection models.
96:1397-1409.
2001
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A two-part random-effects model for semicontinuous longitudinal data.
96:730-745.
2001
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Bayesian and conditional frequentist testing of a parametric model versus nonparametric alternatives.
96:174-184.
2001
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Likelihood-based methods for missing covariates in the cox proportional hazards model.
96:292-302.
2001
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The distribution of realized exchange rate volatility.
96:42-55.
2001
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A Bayesian Model for Fecundability and Sterility.
95:1054-1062.
2000
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Bayesian Analysis: A Look at Today and Thoughts of Tomorrow.
95:1269-1276.
2000
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Gibbs Sampling.
95:1300-1304.
2000
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P Values for Composite Null Models.
95:1127-1127.
2000
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P Values for Composite Null Models.
95:1127-1142.
2000
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Rejoinder.
95:1168-1170.
2000
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Spatial Poisson Regression for Health and Exposure Data Measured at Disparate Resolutions.
95:1076-1088.
2000
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Comment.
95:771-772.
2000
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Fully model-based approaches for spatially misaligned data.
95:877-887.
2000
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On the probability of observing misleading statistical evidence - Comment.
95:771-772.
2000
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Genetic Susceptibility and Survival: Application to Breast Cancer.
95:28-42.
2000
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Some Issues in Assessing Human Fertility.
95:300-303.
2000
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Evaluation and Comparison of EEG Traces: Latent Structure in Nonstationary Time Series.
94:1083-1095.
1999
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Default Bayes Factors for Nonnested Hypothesis Testing.
94:542-554.
1999
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Evaluation and Comparison of EEG Traces: Latent Structure in Nonstationary Time Series.
94:375-387.
1999
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Identifiability, Improper Priors, and Gibbs Sampling for Generalized Linear Models.
94:247-253.
1999
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Meta-Analysis of Migraine Headache Treatments: Combining Information from Heterogeneous Designs.
94:16-28.
1999
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Bayesian Inference on Network Traffic Using Link Count Data.
93:557-557.
1998
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Bayesian inference on network traffic using link count data.
93:557-573.
1998
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Rejoinder.
93:576-576.
1998
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Reprojecting partially observed systems with application to interest rate diffusions.
93:10-24.
1998
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Broken biological size relationships: A truncated semiparametric regression approach with measurement error.
92:836-845.
1997
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A two-step approach to measurement error in time-dependent covariates in nonlinear mixed-effects models, with application to IGF-I pharmacokinetics.
92:436-448.
1997
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Bayesian Forecasting of Multinomial Time Series through Conditionally Gaussian Dynamic Models.
92:640-647.
1997
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Dirichlet Process Mixed Generalized Linear Models.
92:633-639.
1997
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Hierarchical Mixture Models in Neurological Transmission Analysis.
92:587-606.
1997
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Hierarchical Spatio-Temporal Mapping of Disease Rates.
92:607-617.
1997
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Bootstrap-adjusted calibration confidence intervals for immunoassay.
92:278-290.
1997
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The equivalence of constrained and weighted designs in multiple objective design problems.
91:1236-1244.
1996
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Comment.
91:551-552.
1996
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Quasi-likelihood for median regression models.
91:251-257.
1996
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The Intrinsic Bayes Factor for Model Selection and Prediction.
91:109-109.
1996
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The intrinsic bayes factor for model selection and prediction.
91:109-122.
1996
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Bayesian Inference in Cyclical Component Dynamic Linear Models.
90:1301-1301.
1995
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Bayesian Density Estimation and Inference Using Mixtures.
90:577-577.
1995
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Inference from a Deterministic Population Dynamics Model for Bowhead Whales: Comment.
90:426-426.
1995
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Bayesian density estimation and inference using mixtures.
90:577-588.
1995
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Bayesian inference in cyclical component dynamic linear models.
90:1301-1312.
1995
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Comment.
90:426-427.
1995
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Modeling expert opinion arising as a partial probabilistic specification.
90:598-604.
1995
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Survival analysis with median regression models.
90:178-184.
1995
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Laplace Approximations for Posterior Expectations When the Mode Occurs at the Boundary of the Parameter Space.
89:250-250.
1994
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Laplace approximations for posterior expectations when the mode occurs at the boundary of the parameter space.
89:250-258.
1994
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Bayesian Analysis for the Poly-Weibull Distribution.
88:1412-1412.
1993
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Integration of Multimodal Functions by Monte Carlo Importance Sampling.
88:450-450.
1993
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Bayesian analysis for the Poly-Weibull distribution.
88:1412-1418.
1993
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Correcting for nonavailability bias in surveys by weighting based on number of callbacks.
88:1197-1207.
1993
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Integration of multimodal functions by Monte Carlo importance sampling.
88:450-456.
1993
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Reply to Kott’s letter.
88:716-717.
1993
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Bayesian analysis of constrained parameter and truncated data problems using gibbs sampling.
87:523-532.
1992
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Equivalent sample size and “equivalent degrees of freedom” refinements for inference using survey weights under superpopulation models.
87:383-396.
1992
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Hierarchical Bayes models for the progression of HIV infection using longitudinal CD4 T-cell numbers.
87:615-626.
1992
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Rejoinder.
87:631-632.
1992
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Bayesian Inference with Specified Prior Marginals.
86:964-964.
1991
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DATA-BASE ERROR TRAPPING AND PREDICTION.
86:987-996.
1991
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Bayesian inference with specified prior marginals.
86:964-971.
1991
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National surveys and the health and functioning of the elderly: The effects of design and content.
86:513-525.
1991
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Illustration of Bayesian Inference in Normal Data Models Using Gibbs Sampling.
85:972-972.
1990
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Sampling-Based Approaches to Calculating Marginal Densities.
85:398-398.
1990
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Approaches for empirical bayes confidence intervals.
85:105-114.
1990
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Illustration of Bayesian inference in normal data models using Gibbs sampling.
85:972-985.
1990
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Sampling-based approaches to calculating marginal densities.
85:398-409.
1990
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Empirical Bayes procedures for stabilizing maps of U.S. cancer mortality rates..
84:637-650.
1989
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Estimating a Product of Means: Bayesian Analysis with Reference Priors.
84:200-200.
1989
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New Methods for Tables of School Life, with Applications to U. S. Data from Recent School Years.
84:63-63.
1989
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Choosing among alternative nonexperimental methods for estimating the impact of social programs: The case of manpower training.
84:862-874.
1989
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Estimating a product of means: Bayesian analysis with reference priors.
84:200-207.
1989
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New methods for tables of school life, with applications to U.S. data from recent school years.
84:63-75.
1989
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Patterns of oppression: An exploratory analysis of human-rights data.
84:674-681.
1989
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Rejoinder.
84:878-880.
1989
-
Bayesian Variable Selection in Linear Regression: Comment.
83:1033-1033.
1988
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A Bayesian Approach to Ranking and Selection of Related Means With Alternatives to Analysis-of-Variance Methodology.
83:364-364.
1988
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Ranges of Posterior Probabilities for Quasiunimodal Priors With Specified Quantiles.
83:503-503.
1988
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A bayesian approach to ranking and selection of related means with alternatives to analysis-of-variance methodology.
83:364-373.
1988
-
Comment.
83:1033-1034.
1988
-
Ranges of posterior probabilities for quasiunimodal priors with specified quantiles.
83:503-508.
1988
-
Separating probability elicitation from utilities.
83:357-363.
1988
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VARIANCE FUNCTION ESTIMATION.
82:1079-1091.
1987
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Testing a Point Null Hypothesis: The Irreconcilability of P Values and Evidence.
82:112-112.
1987
-
Rejoinder.
82:135-139.
1987
-
Testing a point null hypothesis: The irreconcilability of P values and evidence.
82:112-122.
1987
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Methods for national population forecasts: a review..
81:888-901.
1986
-
Alternative models for the heterogeneity of mortality risks among the aged..
81:635-644.
1986
-
Monitoring and Adaptation in Bayesian Forecasting Models.
81:741-741.
1986
-
Improving the accuracy of intercensal estimates and postcensal projections of the civilian noninstitutional population: a parameterization of institutional prevalence rates..
81:62-74.
1986
-
Monitoring and adaptation in Bayesian forecasting models.
81:741-750.
1986
-
Dynamic Generalized Linear Models and Bayesian Forecasting.
80:73-73.
1985
-
Dynamic Generalized Linear Models and Bayesian Forecasting: Comment.
80:95-95.
1985
-
Comment: Bayesian model building and forecasting.
80:95.
1985
-
Dynamic generalized linear models and Bayesian forecasting.
80:73-83.
1985
-
Estimation of response probabilities from augmented retrospective observations.
80:651-662.
1985
-
Rejoinder.
80:96-97.
1985
-
Probability Forecasting in Meterology.
79:489-489.
1984
-
Abraham Wald's Work on Aircraft Survivability: Comment.
79:267-267.
1984
-
Comment.
79:267-269.
1984
-
Probability forecasting in meteorology.
79:489-500.
1984
-
Empirical Bayes Estimation of Rates in Longitudinal Studies.
78:753-753.
1983
-
On Truncation of Shrinkage Estimators in Simultaneous Estimation of Normal Means.
78:865-865.
1983
-
Parametric Empirical Bayes Inference: Theory and Applications: Comment.
78:55-55.
1983
-
Comment.
78:55-57.
1983
-
Empirical Bayes estimation of rates in longitudinal studies.
78:753-760.
1983
-
On truncation of shrinkage estimators in simultaneous estimation of normal means.
78:865-869.
1983
-
Corrigenda: Analysis of Coarsely Grouped Data from the Lognormal Distribution.
77:954-954.
1982
-
Bayesian Robustness and the Stein Effect.
77:358-358.
1982
-
Bayesian robustness and the stein effect.
77:358-368.
1982
-
Estimation of nonlinear learning models.
77:725-731.
1982
-
Analysis of Coarsely Grouped Data from the Lognormal Distribution.
75:771-771.
1980
-
Analysis of coarsely grouped data from the lognormal distribution.
75:771-778.
1980
-
Interactive elicitation of opinion for a normal linear model.
75:845-854.
1980
-
Warner’s randomized response model: A Bayesian approach.
74:207-214.
1979
-
Rejoinder.
72:536-537.
1977
-
Analyzing the decision-making process of the american jury.
70:305-310.
1975
-
Comment.
70:290-291.
1975
-
Comment.
69:376-378.
1974
-
Modeling jury verdicts in the american legal system.
69:32-37.
1974
-
A study of poisson’s models for jury verdicts in criminal and civil trials.
68:271-278.
1973
-
A decision-theoretic approach to interval estimation.
67:187-191.
1972
-
Comment.
67:376-378.
1972
-
Probabilistic prediction: Some experimental results.
66:675-685.
1971
-
Distributional effects in demand analysis: Observations and predictive tests.
65:576-585.
1970
-
Estimation of Finite Mixtures of Distributions from the Exponential Family.
64:1459-1471.
1969
-
Scoring Rules and the Evaluation of Probability Assessors.
64:1073-1078.
1969
-
The Assessment of Prior Distributions in Bayesian Analysis.
62:776-800.
1967
-
The Quantification of Judgment: Some Methodological Suggestions.
62:1105-1120.
1967