Keyword Search
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CC = Baltimore Convention Center, H = Hilton Baltimore
* = applied session ! = JSM meeting theme
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Keyword Search Criteria: MCMC returned 49 record(s)
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Sunday, 07/30/2017
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Computer Model Calibration to Enable Disaggregation of Large Parameter Spaces, with Application to Mars Rover Data
David Craig Stenning, SAMSI/Duke University; Working Group 1 ASTRO Program, SAMSI
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Sequential Test Planning for Polymer Composites
I-Chen Lee; Yili Hong, Virginia Tech; Sheng-T Tseng, National Tsing-Hua University; Tirthankar Dasgupta, Rutgers University
2:05 PM
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Adaptive MCMC in Bayesian Phylogenetics and Phylodynamics
Guy Baele, KU Leuven; Philippe Lemey, KU Leuven; Andrew Rambaut, University of Edinburgh; Marc A. Suchard, University of California, Los Angeles
2:45 PM
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Semiparametric Inference for the Means of Heavy-Tailed Distributions
Hedibert Lopes, Insper; Matt Taddy, University of Chicago Booth School of Business; Matt Gardner, eBay
3:05 PM
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Bayesian Regression for Undirected Graphs
Wing Yan Yuen, The Chinese University of Hong Kong; Yingying Wei, The Chinese University of Hong Kong
3:05 PM
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Bayesian Phylodynamic Inference for Infectious Disease Dynamics Using the Linear Noise Approximation
Mingwei Tang, Department of Statistics, University of Washington; Vladimir Minin, University of Washington
3:05 PM
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An Empirical Bayesian Approach of Reliability Analysis Based on Wiener Degradation Processes
Tsai-Hung Fan
3:35 PM
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Assessing Temporal Uncertainties for Hydroclimatic Feature Comparison
Kevin Nichols, Cal State Fullerton; Thabat Dahdoul, Cal State Fullerton; Thi Ho, Cal State Fullerton; Reza Ramezan, Cal State Fullerton
4:05 PM
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Bayesian Analysis of Infant's Growth Dynamics with In Utero Exposure to Environmental Toxicants
Jonggyu Baek, University of Michigan, Biostatistics; Bin Zhu, NIH/NCI-DCEG-Biostatistics Branch; Peter XK Song, University of Michigan,
4:35 PM
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Hierarchical Model for Species Abundance Using Efficient Dimension Reduction for Lattice Data
Ghadeer Mahdi, University of Arkansas; Avishek Chakraborty, University of Arkansas; Mark Arnold, University of Arkansas
5:20 PM
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Monday, 07/31/2017
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Bayesian Mixed Effect Location Scale Model for Ecological Momentary Assessment Data
Xiaolei Lin, University of Chicago; Donald Hedeker, University of Chicago
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Support Points: a New Way to Compact Distributions, with an Application to Optimal MCMC Reduction
Simon Mak, Georgia Institute of Technology; V. Roshan Joseph, Georgia Institute of Technology
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Modeling Spatial Extremes Using Positive Stable Mixtures
Gregory Bopp
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Finding Multiple Outcomes with Similar Linear Models
Tanzy Love, University of Rochester; Amy LaLonde, University of Rochester
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Support Points: a New Way to Compact Distributions, with an Application to Optimal MCMC Reduction
Simon Mak, Georgia Institute of Technology; V. Roshan Joseph, Georgia Institute of Technology
8:45 AM
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Modeling Spatial Extremes Using Positive Stable Mixtures
Gregory Bopp
8:45 AM
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Finding Multiple Outcomes with Similar Linear Models
Tanzy Love, University of Rochester; Amy LaLonde, University of Rochester
9:30 AM
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Bayes for Beginners: No Need to Hesitate
Jeffrey Witmer, Oberlin College
10:50 AM
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West African Ebola, Zika in the Americas and Direct Likelihood-Based Inference for Stochastic Compartmental Models
Marc A. Suchard, University of California, Los Angeles
11:00 AM
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Bayesian Gaussian Process Models on Spaces of Sufficient Dimension Reduction
Peter Marcy, Los Alamos National Laboratory
11:35 AM
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Individual Level Infectious Disease Models Incorporating Aggregate Level Spatial Structure
Rob Deardon, University of Calgary; MD Mahsin, University of Calgary
2:25 PM
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Accelerated Failure Time Models for Semi-Competing Risks Data in the Presence of Complex Censoring
Sebastien Haneuse, TE-Harvard T.H. Chan School of Public Health; Kyu Ha Lee, The Forsyth Institute
3:05 PM
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Impact of Misspecified Covariance Structure on the Parameter Estimates in a Shared Spatial Frailty Model
Cindy Feng, University of Saskatchewan
3:25 PM
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Tuesday, 08/01/2017
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Multivariate Generalized Linear Mixed Model with Common Random Effects
Ding Xiang, University of Minnesota; Galin Jones, University of Minnesota
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Joint Modeling of Multiple Longitudinal Ordinal Outcomes and Competing Risks: An Application to Parkinson's Disease Study
Jun Zhang, UT Health Science Cener; Shen Luo, UT School of Public Health
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Geometric Ergodicity of Gibbs Samplers in Bayesian Penalized Regression Models
Dootika Vats, University of Minnesota
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Survival Analysis on a Social Network
SONG Fangda, The Chinese University of Hong Kong; Yingying Wei, The Chinese University of Hong Kong
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Bayesian Models for Automatic Landmark Detection on Elastic Curves
Justin Strait, Department of Statistics, The Ohio State University; Oksana A Chkrebtii, The Ohio State University; Sebastian Kurtek, The Ohio State University
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Geographic Patterns of Diabetes Prevalence in the United States, NHIS (2006 - 2012)
Diba Khan, CDC; Rong Wei, NCHS / CDC; Yulei He, National Center for Health Statistics; HeeChoon Shin, CDC
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Determining Dose-Response Relationships by Bayesian Averaging of Multiple Models
A. Lawrence Gould, Merck Research Laboratories
8:50 AM
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Hybrid Adaptive MCMC Block Sampling
Daniel Turek, Williams College; Nicholas Michaud, University of California, Berkeley
9:35 AM
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Dynamic Predictions in Bayesian Functional Joint Models for Longitudinal and Time-To-Event Data: An Application to Alzheimer's Disease
Kan Li, The University of Texas Health Science Center at Houston ; Sheng Luo, The University of Texas Health Science Center at Houston
9:50 AM
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The LGM Split Sampler: An Efficient MCMC Sampler for Latent Gaussian Models
Birgir Hrafnkelsson, University of Iceland; Dan Simpson, University of Bath; Oli Pall Geirsson, University of Iceland
9:50 AM
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A Simple, Fast Sampler for Simulating Spatial Data and Other Markovian Data Structures
Andrea Kaplan, Iowa State University; Mark Kaiser, Iowa State University; Soumendra N Lahiri, North Carolina State University; Daniel Nordman, Iowa State University
10:05 AM
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Developments and Comparisons Between Markov Chain Monte Carlo and Integrated Nested Laplace Approximations in the Censored Poisson Model
Xiao Yu, University of Texas Health Science Center at Houston; Lung-chang Chien, University of Nevada, Las Vegas
10:05 AM
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Bayesian Neural Networks for High-Dimensional Nonlinear Variable Selection
Faming Liang, University of Florida
10:35 AM
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Bayesian Models for Automatic Landmark Detection on Elastic Curves
Justin Strait, Department of Statistics, The Ohio State University; Oksana A Chkrebtii, The Ohio State University; Sebastian Kurtek, The Ohio State University
10:35 AM
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Survival Analysis on a Social Network
SONG Fangda, The Chinese University of Hong Kong; Yingying Wei, The Chinese University of Hong Kong
11:35 AM
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Geometric Ergodicity of Gibbs Samplers in Bayesian Penalized Regression Models
Dootika Vats, University of Minnesota
12:15 PM
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A Bayesian Approach to Latent Class Modeling with Ordinal Response Data
Padma Sharma, UC Irvine
3:05 PM
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Joint Point Pattern Modeling for Species Co-Occurrence Using Camera Trap Data
Erin M Schliep, University of Missouri; Alan E. Gelfand, Duke University; James S Clark, Duke University; Daniel Taylor-Rodriguez, Michigan State University
3:20 PM
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Wednesday, 08/02/2017
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Bayesian Subgroup Finding by Stochastic Optimization
Arinjita Bhattacharyya, University of Louisville; LURDES INOUE INOUE, University of Washington; Peter Mueller, UT Austin; Riten Mitra, UNIVERSITY OF LOUISVILLE
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Chromosome Level Piecewise Helical Mixing Model for Recovering Chromatin Folding Structure from HiC-Data
Rongrong Zhang, Prudue University; Michael Yu Zhu, Purdue University; Ming Hu, Cleveland Clinic
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Chromosome Level Piecewise Helical Mixing Model for Recovering Chromatin Folding Structure from HiC-Data
Rongrong Zhang, Prudue University; Michael Yu Zhu, Purdue University; Ming Hu, Cleveland Clinic
9:20 AM
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Latent Space Stochastic Block Model for Social Networks
Tin Lok James Ng, University College Dublin; Thomas Brendan Murphy, University College Dublin; Tyler McCormick, University of Washington; Bailey Fosdick, Colorado State University; Ted Westling, University of Washington
2:55 PM
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