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CC = Vancouver Convention Centre   F = Fairmont Waterfront Vancouver
* = applied session       ! = JSM meeting theme

Activity Details

256 Mon, 7/30/2018, 2:00 PM - 3:50 PM CC-West Hall B
Contributed Poster Presentations: Section on Bayesian Statistical Science — Contributed Poster Presentations
Section on Bayesian Statistical Science
Chair(s): Paul McNicholas, McMaster University
67: Comparison of Variable Selection Approaches in Predictive Modeling
Jing Zhang, Miami University; Thomas Fisher, Miami University; Qi He, Miami University
70: Graph-Based Mixture Model: a Bayesian Approach to Combine Clustering and Hypothesis Testing
Tien Vo, University of Wisconsin - Madison; Vamsi Ithapu, University of Wisconsin - Madison; Vikas Singh, University of Wisconsin - Madison; Michael Newton, University of Wisconsin at Madison
71: Counting Maternal Deaths? You Better Bayes It! a Systematic Assessment of Underreporting and Misclassification in Registration of Maternal Deaths in High and Middle Income Countrie
Emily Peterson, University of Massachusetts Amherst; Leontine Alkema, University of Massachusetts Amherst
73: An Autonomous Confidence Set Is a Conservative Credible Set
Sitaram Vangala, UCLA Health System; Robert Weiss, UCLA
74: Bayesian Inference in High-Dimensional Linear Regression Using an Empirical Correlation-Adaptive Prior
Chang Liu, North Carolina State University; Yue Yang, North Carolina State University; Howard D Bondell, University of Melbourne; Ryan Martin, North Carolina State University
75: Comparing Behavioral Dynamics Between Groups of Mice Using Hierarchical Hidden Semi Markov Models
Emmeke Aarts, Utrecht University
76: Bayesian Variable Selection of Stochastic Volatility Models in Financial Time Series
Feng Chi Liu
77: Bayesian and Unsupervised Machine Learning Machines for Jazz Music Analysis
Qiuyi Wu, ASA; Ernest Fokoue, ASA
78: Bayesian Functional Quantile Regression
Yusha Liu, Rice University; Jeffrey S Morris, The University of Texas M.D. Anderson Cancer Center; Meng Li, Rice University
80: Bayesian Sparse Regression in the Presence of Nuisance Parameters
Seonghyun Jeong, North Carolina State University; Subhashis Ghoshal, North Carolina State Univeristy
81: Median Regression for Clustered, Interval Censored Data
Piyali Basak, Florida State University; STUART LIPSITZ, HARVARD MEDICAL SCHOOL; Debajyoti Sinha, Florida State University
82: Simultaneous Bayesian Model Search and Change-Points Detection for Non-Stationary Oscillatory Processes
Beniamino Hadj-Amar, The University of Warwick; Barbel Finkenstadt, The University of Warwick
83: A Bayesian Hierarchical Multivariate Poisson-Lognormal Model to Estimate Age- and Cause-Specific Child Mortality in Data-Scarce Countries
Austin Edward Schumacher, University of Washington; Jon Wakefield, Univ of Washington