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