This is the program for the 2010 Joint Statistical Meetings in Vancouver, British Columbia.

Keyword Search

Keyword Search Criteria: Markov chain Monte Carlo returned 33 record(s)
Sunday, 08/01/2010
Cloud Computing for Bayesian Hidden Markov Models
Steven Lee Scott, Google
2:05 PM

Population-Genetic Approaches for Phylogenetic Substitution Models
Nicolas Rodrigue, University of Ottawa
2:05 PM

Slice Sampling with Adaptive Multivariate Steps: The Shrinking-Rank Method
Madeleine Thompson, University of Toronto; Radford Neal, University of Toronto
2:05 PM

Semiparametric Bayesian Analysis of Gene-Environment Interactions with Error in Measurement of Environmental Covariates and Missing Genetic Data
Iryna Lobach, New York University School of Medicine; Bani K. Mallick, Texas A&M University; Raymond Carroll, Texas A&M University
2:25 PM

Hierarchical Spatial Models for Predicting Forest Variables Over Large Heterogeneous Domains
Sudipto Banerjee, University of Minnesota; Andrew Finley, Michigan State University
4:30 PM

Monday, 08/02/2010
Characterizing the Mutation Pathway for Integrase Inhibitor
Jing Zhao, Merck Research Laboratories


Approximate Bayesian Inference of Bacterial Population Trees with Next-Generation Sequencing Data
Alexander V. Alekseyenko, New York University; Marc Suchard, University of California, Los Angeles
8:55 AM

Multivariate Spatial Factor Analysis Using Gaussian Predictive Processes
Qian Ren, University of Minnesota; Sudipto Banerjee, University of Minnesota
10:50 AM

Hierarchical Model Building, Fitting, and Checking: A Behind-the-Scenes Look at a Bayesian Analysis of Arsenic Exposure Pathways
Peter F. Craigmile, The Ohio State University; Catherine Calder, The Ohio State University; Hongfei Li, IBM T.J. Watson Research Center; Rajib Paul, Western Michigan University; Noel A. Cressie, The Ohio State University
11:05 AM

Dynamic Correlation Structures in Factor Multivariate Stochastic Volatility Models
Yu-Cheng Ku, North Carolina State University; Peter Bloomfield, North Carolina State University
11:05 AM

Adaptive Gaussian Predictive Process Model for Large Spatial Data Sets
Rajarshi Guhaniyogi, University of Minnesota; Andrew Finley, Michigan State University; Sudipto Banerjee, University of Minnesota; Alan E. Gelfand, Duke University
11:05 AM

Estimation of Faraday Rotation Measures of the Near Galactic Sky Using a Nonstationary Gaussian Process Model
Margaret Short, University of Alaska, Fairbanks; Philipp P. Kronberg, Los Alamos National Laboratory; Dave Higdon, Los Alamos National Laboratory
11:20 AM

A Stochastic Partitioning Method to Associate High-Dimensional Data Sets
Mahlet G. Tadesse, Georgetown University; Stefano Monni, Weill Cornell Medical College
11:35 AM

Nonstationary Gaussian Process Models via Treed Process-Convolutions
Waley Liang, University of California, Santa Cruz
11:35 AM

Innovative Imputation Techniques Designed for the Agricultural
Michael Robbins, National Institute of Statistical Sciences
2:25 PM

Tuesday, 08/03/2010
A Deaggregating Model for the Semi-areal Data with a Bivariate CAR Prior
Ye Liang, University of Missouri; Dongchu Sun, University of Missouri; Zhuoqiong He, University of Missouri; Mario Schootman, Washington University in St. Louis
8:35 AM

Automated Factor Slice Sampling
Matthew Tibbits, Penn State; Chris Groendyke, Penn State; Murali Haran, Penn State
8:50 AM

MCMC Model Composition Strategy in a Hierarchical Setting
Susan Simmons, University of North Carolina Wilmington; Qijun Fang, The University of Arizona; Fang Fang, The University of Arizona; Ann Stapleton, University of North Carolina Wilmington; Karl Ricanek, University of North Carolina Wilmington
9:05 AM

Network-Based Auto-Probit Modeling for Protein Function Prediction
Xiaoyu Jiang, Boehringer Ingelheim Pharmaceuticals, Inc.; David Gold, State University of New York at Buffalo; Eric Kolaczyk, Boston University
10:35 AM

Regenerative Simulation for Variable-at-a-Time Metropolis-Hastings Algorithms
Ronald Charles Neath, Baruch College, CUNY; Galin L. Jones, University of Minnesota
10:35 AM

Using Hybrid MCMC for Logistic Regression Model Selection
Robert Feyerharm, Independent Consultant
10:35 AM

Quantile Estimation via Markov Chain Monte Carlo
James M. Flegal, University of California, Riverside
10:50 AM

Bayesian Nonparametric Point Process Modeling for Extreme Value Analysis
Athanasios Kottas, University of California, Santa Cruz; Ziwei Wang, University of California, Santa Cruz; Abel Rodriguez, University of California, Santa Cruz; Bruno Sanso, University of California, Santa Cruz
11:25 AM

A Multvariate Frailty Model for Disease Recurrences and Survival
Sijin Wen, MD Anderson Cancer Center; Xuelin Huang, MD Anderson Cancer Center; Ralph F. Frankowski, The University of Texas School of Public Health
11:35 AM

A Bayesian Method for Estimating Disease Prevalence in the Presence of a Hidden Subpopulation
Chaoxiong Xia, The University of British Columbia; Paul Gustafson, The University of British Columbia
11:35 AM

Imputation Strategies for Missing Binary Outcomes in Cluster Randomized Trials
Jinhui Ma, McMaster University; Noori Akhtar-Danesh, McMaster University; Lisa Dolovich, McMaster University; Lehana Thabane, McMaster University
2:35 PM

Wednesday, 08/04/2010
Strategies for Pulling the Goalie in Hockey
David Beaudoin, Universite Laval; Tim B. Swartz, Simon Fraser University
8:50 AM

Gravity Models for Studying the Spatiotemporal Dynamics of an Infectious Disease
Murali Haran, Penn State; Roman Jandarov, Penn State; Ottar N. Bjornstad, Penn State
10:35 AM

Mutation Rate Estimation and Classification of Driver and Passenger Genes in Cancer
Jie Ding, Dana-Farber Cancer Institute; Giovanni Parmigiani, Harvard University; Xiaogang Zhong, The Johns Hopkins University
10:35 AM

Bayesian Nonparametric Longitudinal Data Analysis with Embedded Autoregressive Structure: Application to Hormone Data
Wesley Johnson, University of California, Irvine; Fernando Quintana, Pontificia Universidad Católica de Chile
2:05 PM

Thursday, 08/05/2010
Dynamic Markov Bases
Adrian Dobra, University of Washington
9:05 AM

Semiparametric Approach to Quantile Regression for Random Coefficients Models
Mi-Ok Kim, Cincinnati Children's Hospital Medical Center
9:15 AM

Two-Layer Bayesian Variable Selection with Group and Network Information
Francesco Claudio Stingo, Rice University
11:20 AM




2010 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.