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Sessions Were Renumbered as of May 19.

Legend:
CC-W = McCormick Place Convention Center, West Building,   CC-N = McCormick Place Convention Center, North Building
H = Hilton Chicago,   UC= Conference Chicago at University Center
* = applied session       ! = JSM meeting theme

Keyword Search Criteria: Dirichlet process returned 19 record(s)
Sunday, 07/31/2016
Nonparametric Bayes Modeling with Sample Survey Weights
Tsuyoshi Kunihama, University of Washington; Amy Herring, The University of North Carolina at Chapel Hill; Carolyn Halpern, The University of North Carolina at Chapel Hill; David Dunson, Duke University
4:05 PM

Comparing Parametric and Semiparametric Bayesian Models for Subgroup Analysis in Clinical Trials
Margaret Gamalo-Siebers, Eli Lilly and Company
4:20 PM

Survey Integration and Estimation of Joint Distributions with Conditionally Representative Data Sources
Maria DeYoreo, Duke University; Bailey Fosdick, Colorado State University
4:45 PM

On the transition function of some time-dependent Dirichlet and gamma processes
Antonio Lijoi, University of Pavia
4:45 PM

Monday, 08/01/2016
Bayesian Estimation of Heavy-Tailed Densities Using Transformations
Andrew Bean, The Ohio State University; Xinyi Xu, The Ohio State University; Steven N. MacEachern, The Ohio State University
8:35 AM

A Bayesian Formulation for Capturing Population Heterogeneity
Junxian Geng, Florida State University; Elizabeth Slate, Florida State University
9:35 AM

Why Popular Bayesian Nonparametric Methods Fail for Sparse Clustering Tasks
Rebecca Steorts, Duke University; Jeffrey Miller, Duke University; Brenda Betancourt; Abbas Zaidi, Duke University; Hanna Wallach, University of Massachusetts - Amherst/Microsoft Research
10:35 AM

Semiparametric Bayesian Analysis of High-Dimensional Censored Outcome
Chetkar Jha, University of Missouri; Yi Li, University of Michigan; Steven Melly, Harvard; Dr Subharup Guha, University of Missouri
10:50 AM

Dependent Latent Effects Modeling for Survey Estimation with Application to the Current Employment Statistics Survey
Julie Gershunskaya, Bureau of Labor Statistics; Terrance Savitsky, Bureau of Labor Statistics
11:40 AM

Bayesian Nonparametric Modeling and Inference for Mean Residual Life Functions
Athanasios Kottas, University of California at Santa Cruz; Valerie Poynor, California State University at Fullerton
2:30 PM

Tuesday, 08/02/2016
Bayesian Nonparametric Feature Selection Over Large-Scale Gene Networks with Missing Values
Zhuxuan Jin, Emory University; Zhou Lan, North Carolina State University; Jian Kang, University of Michigan; Tianwei Yu, Emory University


Wednesday, 08/03/2016
Bayesian Approach for Interim Analysis with Failure Time Endpoint
Zailong Wang, Novartis Pharma; Chen Gao, University of Minnesota; Peter Mesenbrink, Novartis Pharma
8:35 AM

Bayesian Computation in Dirichlet Process Mixture Models
Erina Paul; Sanjib Basu, Northern Illinois University
9:05 AM

Dirichlet Process Mixture Model for High-Dimensional Gene Expression Data
Eric Mittman, Iowa State University; Jarad Niemi, Iowa State University
9:50 AM

A Dirichlet Process Mixture Model for Clustering Longitudinal Gene Expression Data
Jiehuan Sun, Yale University; Jose D. Herazo-Maya, Yale School of Medicine; Naftali Kaminski, Yale School of Medicine; Hongyu Zhao, Yale University; Joshua Warren, Yale University
10:05 AM

Bayesian Nonparametric Estimation for Dynamic Treatment Regimes with Sequential Transition Times
Peter F. Thall, MD Anderson Cancer Center; Yanxun Xu; Peter Mueller, The University of Texas at Austin; Abdus S. Wahed, University of Pittsburgh
2:05 PM

A Dirichlet Process Functional Approach to Heteroscedastic-Consistent Covariance Estimation and Sensitivity Analysis of Causal Effects
George Karabatsos, University of Illinois at Chicago
2:25 PM

Thursday, 08/04/2016
Dirichlet Process Mixture of Voigt Profiles with Application to Peak Detection in X-Ray Photoelectron Spectroscopy Data
Anton Lobach, University of Rhode Island; Gavino Puggioni, University of Rhode Island; David Heskett, University of Rhode Island; Benjamin Young, Rhode Island College
8:50 AM

Weighted Dirichlet Process Mixture GARCH Model for Predicting Stock Price
Inyoung Kim, Virginia Tech; Peng Sun, Virginia Tech
10:50 AM

 
 
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