Online Program Home
  My Program

Keyword Search

Legend:
CC = Baltimore Convention Center,    H = Hilton Baltimore
* = applied session       ! = JSM meeting theme

Keyword Search Criteria: Posterior returned 22 record(s)
Sunday, 07/30/2017
Data-Driven Confidence Interval Estimation Incorporating Prior Information with an Adjustment for Skewed Data
Li Zou, State University of New York At Buffalo; Albert Vexler, State University of New York at Buffalo; Alan Hutson, Roswell Park Cancer Institute
2:05 PM

Scalable Bayes Under Informative Sampling
Sanvesh Srivastava, University of Iowa; Terrance Savitsky, U.S. Bureau of Labor Statistics
3:05 PM

Monday, 07/31/2017
Scalable Approximations of Marginal Posteriors in Variable Selection
Willem Van Den Boom, Duke University; Galen Reeves, Duke University; David Dunson, Duke University
8:55 AM

On some distributional properties of hierarchical processes
Federico Camerlenghi, University of Bologna; Antonio Lijoi, Bocconi University; Igor Pruenster, Bocconi University
9:45 AM

Posterior Concentration for Bayesian Regression Trees and their Ensembles
Veronika Rockova, University of Chicago; Stephanie van der Pas, Leiden University
10:35 AM

High-Dimensional Posterior Consistency in Bayesian Vector Autoregressive Models
Satyajit Ghosh, University of Florida; Kshitij Khare, University of Florida; George Michailidis, University of Florida
3:05 PM

Tuesday, 08/01/2017
Comparing Biomarker-Guided Treatment Strategies Using Local Posterior Predictive Benefit
Meilin Huang, The University of Texas MD Anderson Cancer Center; Brian P. Hobbs, The University of Texas MD Anderson Cancer Center


Dynamic Posterior Exploration for Simultaneous Variable and Covariance Selection with Spike and Slab Priors
Sameer Kirtikumar Deshpande, The Wharton School; Veronika Rockova, University of Chicago; Edward I. George, Wharton, University of Pennsylvania


Comparing Biomarker-Guided Treatment Strategies Using Local Posterior Predictive Benefit
Meilin Huang, The University of Texas MD Anderson Cancer Center; Brian P. Hobbs, The University of Texas MD Anderson Cancer Center
8:55 AM

Dynamic Posterior Exploration for Simultaneous Variable and Covariance Selection with Spike and Slab Priors
Sameer Kirtikumar Deshpande, The Wharton School; Veronika Rockova, University of Chicago; Edward I. George, Wharton, University of Pennsylvania
11:55 AM

Wednesday, 08/02/2017
Highest Posterior Mass Prediction Intervals for Binomial and Poisson Distributions
Kalimuthu Krishnamoorthy, Univ of Louisiana
8:50 AM

Approximate Bayesian Inference via Iterated Random Functions
Aritra Guha, University of Michigan; Long Nguyen, University of Michigan
9:05 AM

Comparing Methods of Inference on the Basis of Imprecise Posterior Distributions
Reyhaneh Hosseini, University of Ottawa; David R. Bickel, University of Ottawa
9:50 AM

Posterior Graph Selection and Estimation Consistency for High-Dimensional Bayesian DAG Models
Xuan Cao, University of Florida; Kshitij Khare, University of Florida; Malay Ghosh, University of Florida
10:50 AM

Bayesian High-Dimensional Linear Regression Under the Model Misspecification
Kyoungjae Lee, The University of Notre Dame; Minwoo Chae, The University of Texas at Austin; Lizhen Lin, The University of Notre Dame
11:20 AM

Bayesian Variable Selection Over Large Scale Networks via the Thresholded Graph Laplacian Gaussian Prior with Application to Genomics
Qingpo Cai, Emory University-Rollins School of Public Health; Jian Kang, University of Michigan; Tianwei Yu, Emory University
11:55 AM

Singularity Structure of Parameter Space and Posterior Contraction in Finite Mixture Models
Long Nguyen, University of Michigan; Nhat Ho, University of Michigan
3:05 PM

Robust Hierarchical Bayes Small Area Estimation
Gauri Datta, University of Georgia and US Census Bureau; Adrijo Chakraborty, NORC at the University of Chicago; Abhyuday Mandal, University of Georgia
3:05 PM

Thursday, 08/03/2017
Bayesian Estimation Under Dependent Informative Sampling
Terrance Savitsky, U.S. Bureau of Labor Statistics; Matthew Williams, Substance Abuse and Mental Health Services Administration
9:15 AM

A COMPARISON AMONG BAYESIAN, MAXIMUM LIKELIHOOD, and MAXIMUM ENTROPY INFERENCE METHODS
Jose Guardiola, Texas A&M University-CC; Hassan Elsalloukh, University of Arkansas at Little Rock
11:15 AM

Program Success Criteria for Drug Approval: P Value vs. Bayesian Posterior Probability
Meihua Wang, Merck & Co.; Frank Liu, Merck & Co. Inc.
11:35 AM

Bayesian Inference for Mediation Quantities with Factual and Intervened Posterior Predictive Distributions
Leah Comment, Harvard University School of Public Health; Linda Valeri, Harvard University; Brent Coull, Harvard T.H. Chan School of Public Health
11:35 AM

 
 
Copyright © American Statistical Association