2013 Joint Statistical Meetings - Celebrating the International Year of Statistics

JSM 2013 Online Program

Online Program Home
My Program

Keyword Search

Legend: Palais des congrès de Montréal = CC, Le Westin Montréal = W, Intercontinental Montréal = I
A * preceding a session name means that the session is an applied session.
A ! preceding a session name means that the session reflects the JSM meeting theme.

Keyword Search Criteria: Dirichlet Process Mixture returned 8 record(s)

Sunday, 08/04/2013

Bayesian Semiparametric Density Deconvolution in the Presence of Conditionally Heteroscedastic Measurement Errors
Raymond J. Carroll, Texas A&M University; Abhra Sarkar, Texas A&M University; Bani Mallick, Texas A&M; John Staudenmayer, University of Massachusetts; Debdeep Pati, Florida State University
3:20 PM

Monday, 08/05/2013

A Semiparametric Bayesian Approach to an Instrumental Variable Model with Right-Censored Time-to-Event Outcome
Xuyang Lu, University of California, Los Angeles; Gang Li, University of California at Los Angeles
8:50 AM

Tuesday, 08/06/2013

Malware Detection Using Nonparametric Bayesian Clustering and Classification Techniques
Yimin Kao, Department of Statistics, North Carolina State University ; Brian J. Reich, North Carolina State University; Curtis Storlie, Los Alamos National Laboratory
8:35 AM

Bayesian Inference for Assessing the Association Between Urinary Incontinence and Hormone Profiles During the Menopausal Transition
Yan He, UC Irvine; Wesley O. Johnson, UC Irvine
8:35 AM

Nonparametric Bayesian Inference for Mean Residual Life Functions in Survival Analysis
Valerie Poynor
10:35 AM

Wednesday, 08/07/2013

Finding the Circadian Clocksin Genes: An Application of Dirichlet Process Mixture Model and Spectral Analysis
Yan Ren, University of Cincinnati; Christian I. Hong, University of Cincinnati; Seongho Song, University of Cincinnati
9:35 AM

A Novel Bayesian Approach for Differential Expression Analysis with RNA-Seq Data
Peng Liu, Iowa State University; Fangfang Liu, Iowa State University; Chong Wang, Iowa State University
11:35 AM

Thursday, 08/08/2013

A Semiparametric Bayesian Model for Longitudinal Data: The Cluster Memory Dirichlet Process Mixture Model
Robert E Weiss, University of California, Los Angeles; Yuda Zhu, Genentech
9:50 AM

2013 JSM Online Program Home

For information, contact jsm@amstat.org or phone (888) 231-3473.

If you have questions about the Continuing Education program, please contact the Education Department.

The views expressed here are those of the individual authors and not necessarily those of the JSM sponsors, their officers, or their staff.