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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: Markov chain Monte Carlo returned 46 record(s)
Sunday, 07/31/2016
A Fully Bayesian Strategy for High-Dimensional Hierarchical Modeling Using Massively Parallel Computing
William Landau, Iowa State University; Jarad Niemi, Iowa State University
2:05 PM

On the Use of Cauchy Prior Distributions for Bayesian Logistic Regression
Joyee Ghosh, University of Iowa; Yingbo Li , Clemson University; Robin Mitra, University of Southampton
2:05 PM

Efficient Importance Sampling Methods for Estimating Parameters in SGLMMs and Improving Prediction
Vivekananda Roy, Iowa State University
2:45 PM

Statistical Models for the Movement of Halibut in the Gulf of Alaska
Margaret Short, University of Alaska Fairbanks; Andrew Seitz, University of Alaska Fairbanks; Julie Nielsen, University of Alaska Fairbanks
3:05 PM

Bayesian Large-Scale Multiple Regression with Summary Statistics from Genome-Wide Association Studies
Xiang Zhu, The University of Chicago; Matthew Stephens, The University of Chicago
3:20 PM

Bayesian Modeling and Inference for High-Dimensional Spatiotemporal Data Sets
Sudipto Banerjee, University of California at Los Angeles
4:05 PM

Analyzing MCMC Output
Dootika Vats, University of Minnesota - Twin Cities; James Flegal, University of California at Riverside; Galin Jones, University of Minnesota - Twin Cities
4:05 PM

Bayesian Joint Modeling of Response Times with Dynamic Latent Ability in Educational Testing
Abhisek Saha, University of Connecticut; Xiaojing Wang, University of Connecticut; Dipak Dey, University of Connecticut
4:05 PM

Bayesian Inference in a PDE-Based Model of Exhaled Nitric Oxide
Patrick Muchmore; Sandrah P. Eckel, University of Southern California
5:05 PM

Monday, 08/01/2016
Bayesian Approach to Survival Models for Events of Insurance Claims
Prashant KC, Minnesota State University Mankato; Deepak Sanjel, Minnesota State University Mankato


Bayesian Inference for Unidirectional Misclassification in Ordinal Covariates
Liangrui Sun; Chaoxiong Xia, Northern Illinois University; Yuanyuan Tang, Saint Luke's Health System; Shun Takai, Northern Illinois University


Bayesian Joint Modeling of Longitudinal and Survival Data with Treatment Switches
Fan Zhang, University of Connecticut; Ming-Hui Chen, University of Connecticut; Qingxia Chen, Vanderbilt University; Xiuyu Julie Cong, Boehringer Ingelheim Pharmaceuticals
8:35 AM

Bayesian Variable Selection for Multivariate Count Data with Excess Zeros: Application to the Pediatric HIV/AIDS Cohort Study
Kyu Ha Lee, The Forsyth Institute; Brent Coull, Harvard T.H. Chan School of Public Health; Jacqueline R. Starr, The Forsyth Institute
10:35 AM

Bayesian Inference for Unidirectional Misclassification in Ordinal Covariates
Liangrui Sun; Chaoxiong Xia, Northern Illinois University; Yuanyuan Tang, Saint Luke's Health System; Shun Takai, Northern Illinois University
11:30 AM

Process-Based Hierarchical Models for Coupling High-Dimensional LiDAR and Forest Variables Over Large Geographic Domains
Andrew Finley, Michigan State University; Sudipto Banerjee, University of California at Los Angeles; Yuzhen Zhou, University of Nebraska - Lincoln; Bruce Cook, NASA
11:35 AM

Modeling Multiple Primary Cancers Over Time Using a Novel Familywise Likelihood Under the Nonhomogeneous Poisson Process
Jialu Li, MD Anderson Cancer Center; Seung Jun Shin, Korea University; Wenyi Wang, MD Anderson Cancer Center
2:05 PM

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

Maximum Likelihood Estimation of Gaussian Copula Models for Geostatistical Count Data
Zifei Han; Victor De Oliveira, The University of Texas at San Antonio
2:50 PM

Bayesian Single Index Models
Kumaresh Dhara, Florida State University; Debajyoti Sinha, Florida State University; Debdeep Pati, Florida State University
3:20 PM

Bayesian Feature Selection for Ultra-High-Dimensional Imaging Genetics Data
Yize Zhao, Statistical and Applied Mathematical Sciences Institute; Hongtu Zhu, The University of North Carolina at Chapel Hill; Fei Zou, University of Florida
3:25 PM

Tuesday, 08/02/2016
BANFF: An R Package for BAyesian Network Feature Finder
Zhou Lan, North Carolina State University; Yize Zhao, Statistical and Applied Mathematical Sciences Institute; Jian Kang, University of Michigan; Tianwei Yu, Emory University


Bayesian Implementation of Integrated Population Models
Robert Richardson, Brigham Young University
9:05 AM

Geometrically Tempered Hamiltonian Monte Carlo
Akihiko Nishimura, Duke University; David Dunson, Duke University
10:35 AM

Probabilistic Integration: A Role for Statisticians in Numerical Analysis?
Francois-Xavier Briol, University of Warwick; Chris J. Oates, University of Technology Sydney; Mark Girolami, University of Warwick/The Alan Turing Institute for Data Science; Michael A. Osborne, University of Oxford; Dino Sejdinovic, University of Oxford
10:55 AM

Bayesian Latent Variable Modeling of Genetic Pleiotropy Data
Lei Sun, University of Toronto; Lizhen Xu, University of Toronto; Radu V. Craiu, University of Toronto; Andrew Paterson, Hospital for Sick Children
11:05 AM

Bayesian Inversion of a Large Spatial Field Using Predictive Process
Anirban Mondal, Case Western Reserve University
12:05 PM

MCMC Diagnostics Based on Kullback Leibler Divergence and Smoothing Methods
Anand Dixit, Iowa State University; Vivekananda Roy, Iowa State University
2:05 PM

Alternatives to Exponential-Family Models for Social Networks
Mark Stephen Handcock, University of California at Los Angeles
2:35 PM

A Repulsive-Attractive Metropolis Algorithm for Multimodality
Hyungsuk Tak, Harvard; Xiao-Li Meng, Harvard; David A. van Dyk, Imperial College London
2:50 PM

Nonparametric Bayesian Learning of Heterogeneous Dynamic Transcription Factor Networks
Xiangyu Luo, The Chinese University of Hong Kong; Yingying Wei, The Chinese University of Hong Kong
3:05 PM

Bayesian Estimation with Flexible Prior for the Instrumental Variables Models
John Hsu, University of California at Santa Barbara; Julianne Swenson, University of California at Santa Barbara
3:35 PM

Wednesday, 08/03/2016
Dynamic Modeling of Factor Risks in Multi-strategy Hedge Fund Investment Portfolios
Weiren Chang, JP Morgan
9:05 AM

Modeling Preferential Recruitment for Respondent-Driven Sampling
Katherine McLaughlin, University of California at Los Angeles
9:55 AM

Efficient Bayesian Posterior Sampling for Massive Data Sets
Reihaneh Entezari; Radu V. Craiu, University of Toronto; Jeffrey S. Rosenthal, University of Toronto
10:50 AM

Particle Swarm Optimization--Assisted Metropolis Hastings Algorithms
Matthew Simpson, University of Missouri; Christopher Wikle, University of Missouri; Scott H. Holan, University of Missouri
11:15 AM

PIE: Simple, Scalable, and Accurate Posterior Interval Estimation
Cheng Li, Duke University; Sanvesh Srivastava, University of Iowa; David Dunson, Duke University
11:20 AM

Small-Area Estimation for High-Dimensional Non-Gaussian Dependent Data
Jonathan R. Bradley, University of Missouri; Scott H. Holan, University of Missouri; Christopher Wikle, University of Missouri
11:35 AM

Partial Order Markov Chain Monte Carlo for Bayesian Networks
James Henderson, University of Michigan; George Michailidis, University of Florida
11:50 AM

Sufficient Burn-In for the Random-Walk Metropolis Algorithm
David Spade, University of Missouri - Kansas City
11:50 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

Flexible Link Functions in Nonparametric Binary Regression with Gaussian Process Priors
Xia Wang, University of Cincinnati; Dan Li, University of Cincinnati; Lizhen Lin, The University of Texas; Dipak Dey, University of Connecticut
2:05 PM

A Novel Bayesian Model for the Local False Discovery Rate
Wesley Thompson, University of California at San Diego; Rong Zablocki, University of California at San Diego; Richard Levine, San Diego State University
2:55 PM

Thursday, 08/04/2016
Batch-Size Selection of Batch Means and Spectral Variance Estimators in Markov Chain Monte Carlo
Ying Liu, University of California at Riverside; James Flegal, University of California at Riverside
8:35 AM

Toward Efficient MCMC Algorithms for Doubly Intractable Distributions
Jaewoo Park, Penn State University; Murali Haran, Penn State University
11:20 AM

Bayesian Modeling of High-Frequency Crude Oil Prices
Jonathan Stroud, Georgetown University; Michael Johannes, Columbia University; Norman Seeger, VU University
11:25 AM

Biomass Prediction Using Density-Dependent Diameter Distribution Models
Erin M. Schliep, University of Missouri; Alan E. Gelfand; James S. Clark, Duke University; Bradley J. Tomasek, Duke University
12:05 PM

 
 
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