Keyword Search
Legend:
CC = Baltimore Convention Center, H = Hilton Baltimore
* = applied session ! = JSM meeting theme
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Keyword Search Criteria: Monte Carlo returned 66 record(s)
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Sunday, 07/30/2017
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Locally-Adaptive Bayesian Nonparametric Models for Multivariate Processes in Phylodynamics
James Faulkner, University of Washington; Vladimir Minin, University of Washington
2:05 PM
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Barycentric Gaussian Processes for Nonparametric Regression
Cheng Li, National University of Singapore; Sanvesh Srivastava, The University of Iowa; David B. Dunson, Duke University
2:25 PM
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Estimating Parameters in Complex Systems with Functional Outputs - a Wavelet-Based Approximate Bayesian Computation Approach
Ruijin Lu, Virginia Polytechnic Institute and State University; Hongxiao Zhu, Assistant Professor, Virginia Tech; Chen Ming, Department of Mechanical Engineering, Virginia Tech; Anupam K. Gupta, Department of Mechanical Engineering, Virginia Tech; Rolf Muller, Department of Mechanical Engineering, Virginia Tech
2:35 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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Bayesian Functional Single Index-Interaction Model for Cognition Prediction
Kumaresh Dhara, Florida State University; Debdeep Pati, Florida State University; Debajyoti Sinha, Florida State University
2:50 PM
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Bayesian Inference in Parallel and Distributed Environments: The Hardware/Software Approach to Scalable Computation
Alexander Terenin, University of California, Santa Cruz; David Draper, University of California, Santa Cruz
3:25 PM
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Solve Financial Problems by Quantum Computing
Yazhen Wang, University of Wisconsin Madison
4:30 PM
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Some Models for Load-Sharing Systems and Analyzes
Narayanaswamy Balakrishnan, McMaster University
4:30 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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Estimating Wind Speed Distributions Using Skewed and Flexible Skewed Distributions: a Monte Carlo Comparison
Mohammad Aziz, University of Wisconsin-Eau Claire
4:35 PM
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Likelihood-Based Inference for Partially Observed Spatiotemporal Dynamics: Measles as a Case Study
Edward Ionides, University of Michigan; Joonha Park, University of Michigan
4:55 PM
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Adaptive Bayesian Power Spectrum Analysis of Multivariate Nonstationary Time Series
Zeda Li, Temple University; Robert T Krafty, Department of Biostatistics, University of Pittsburgh
5:20 PM
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Monday, 07/31/2017
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Monte Carlo Simulation for Longitudinal Studies with Co-Primary Endpoints
Simcha Pollack
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Sequential Graph Matching and Streaming Sequential Monte Carlo
Seong-Hwan Jun
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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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Semiparametric Bayesian Regression for Multivariate Skewed Responses
Apurva Bhingare
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Analysis of the Australian Election Study Using Bayesian Quantile Regression Models
Charles Au, University of Sydney; S. T. Boris Choy, University of Sydney
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Implementing Monte Carlo Tests with Multiple Thresholds
Georg Hahn, Imperial College London; Axel Gandy, Imperial College London; Dong Ding, Imperial College London
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Bayesian Regression Modeling with the Tilted Beta Distribution
Eugene Hahn, Salisbury University
8:35 AM
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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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Empirical Bayes Analysis of Relevance Vector Machines
Anand Dixit, Iowa State University; Vivekananda Roy, Iowa State University
8:50 AM
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Semiparametric Bayesian Regression for Multivariate Skewed Responses
Apurva Bhingare
9:20 AM
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An Adaptive Subgroup-Identification Enrichment Design
Yanxun Xu, Johns Hopkins University; Yili L Pritchett, MedImmune; Florica Constantine, Johns Hopkins University
11:15 AM
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Linear Modal Regression with Errors in Variables
Xiang Li, University of South Carolina; Xianzheng Huang, University of South Carolina
11:20 AM
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Modeling Computer Network Data Using Markov Modulated Poisson Processes
Mark Briers, Alan Turing Institute
11:25 AM
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Analysis of the Australian Election Study Using Bayesian Quantile Regression Models
Charles Au, University of Sydney; S. T. Boris Choy, University of Sydney
12:00 PM
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An Effecient Method for Quantile Regression
Mei Ling Huang, Brock University; Ramona Rat, Brock University; Wai Kong Yuen, Brock University
2:05 PM
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Calibrated Data Augmentation for Scalable Markov Chain Monte Carlo
Leo Duan, Johns Hopkins University; James Johndrow, Stanford University; David Dunson, Duke University
2:20 PM
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Joint Analysis of Left-Censored Longitudinal Biomarker and Binary Outcome via Latent Class Modeling
Menghan Li, Pennsylvania State University ; Lan Kong, Pennsylvania State University
2:35 PM
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A Modified Conditional Metropolis-Hastings Sampler with Two Generalized Strategies
Jianan Hui, University of California, Riverside; James Flegal, University of California, Riverside; Alicia Johnson, Macalester College
2:35 PM
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On General Sampling Schemes for Particle Markov Chain Monte Carlo Methods
Christopher Carter, University of New South Wales; Robert Kohn, University of New South Wales ; Eduardo Mendes, Fundacao Getulio Vargas
2:50 PM
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Tuesday, 08/01/2017
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A Bayesian Approach to Factor Screening in Life Tests
I-Tang Yu
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Construction of ROC Curves for Measurement Error Models as Classifiers
Mengru Zhang, Stony Brook University; Song Wu, Stony Brook University; Christine DeLorenzo, Stony Brook University; Jie Yang, Stony Brook University
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Hyperparameter Selection for the Latent Dirichlet Allocation Model
Wei Xia, University of Florida; Hani Doss, University of Florida
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Nonlinear Hierarchical Modeling of Experimental Infection Data: Type I Error Control for Small-Sample Studies
Michael Singleton, University of Kentucky; Patrick Breheny, University of Iowa
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A New Multivariate Measure of Agreement in Method-Comparison Studies
Sasiprapa Hiriote, Department of Statistics, Faculty of Science, SILPAKORN UNIVERSITY; Vernon M Chinchilli, Department of Public Health Sciences, Penn State Hershey College of Medicine
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Uncertainty Quantification for Remote Sensing Data
Amy Braverman, Jet Propulsion Laboratory; Jonathan Hobbs, Jet Propulsion Laboratory
8:55 AM
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Sequential Monte Carlo for Dynamic Latent Space Networks
Kathryn Turnbull, Lancaster University; Matthew Nunes, Lancaster University; Christopher Nemeth, Lancaster University; Tyler McCormick, University of Washington
9:05 AM
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Nonlinear Hierarchical Modeling of Experimental Infection Data: Type I Error Control for Small-Sample Studies
Michael Singleton, University of Kentucky; Patrick Breheny, University of Iowa
9:10 AM
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Adaptive Ensemble Kalman Filters for Online Bayesian State and Parameter Estimation
Jonathan Stroud, Georgetown University; Matthias Katzfuss, Texas A&M University; Christopher Wikle, University of Missouri
9:15 AM
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Bayesian Inference in the Presence of Intractable Normalizing Functions
Jaewoo Park, Penn State University
9:20 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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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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On the Properties of the Gradient of Log Empirical Likelihood
Sanjay Chaudhuri, National University of Singapore
10:35 AM
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Multivariate Output Analysis for Markov Chain Monte Carlo
Galin Jones, University of Minnesota; Dootika Vats, University of Minnesota; James Flegal, University of California, Riverside
11:00 AM
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Improved Activation Detection via Rice-Distributed fMRI Time Series Modeling
Daniel Adrian, Grand Valley State University; Ranjan Maitra, Iowa State University; Daniel B. Rowe, Marquette University
11:05 AM
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Detecting Copy Number Variations via a Bayesian Approach Adapting to Both Whole Genome and Targeted Exome Sequencing
Yu-Chung Wei, Department of Statistics, Feng Chia University; Guan-Hua Huang, Institute of Statistics, National Chiao Tung University
11:05 AM
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Hyperparameter Selection for the Latent Dirichlet Allocation Model
Wei Xia, University of Florida; Hani Doss, University of Florida
11:30 AM
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Multiple Testing with Close to Equally Correlated Correlation Structure
Boris Zaslavsky, FDA/CBER
11:35 AM
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Bayesian Clustering and Dimension Reduction in Multivariate Air Pollution Extremes
Sabrina Vettori, King Abdullah University of Science and Technilogy; Raphael Huser, KAUST; Marc G. Genton, KAUST
11:35 AM
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Bayesian Analysis for Multi-Subject Time Course RNA-Seq Experiments
Allison Tegge, Virginia Tech; Shiqi Cui, Google; Marco Ferreira, Virginia Tech
11:50 AM
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A New Multivariate Measure of Agreement in Method-Comparison Studies
Sasiprapa Hiriote, Department of Statistics, Faculty of Science, SILPAKORN UNIVERSITY; Vernon M Chinchilli, Department of Public Health Sciences, Penn State Hershey College of Medicine
12:00 PM
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Bayesian Low-Rank Graph Regression Models for Mapping Human Connectome Data
Eunjee Lee, University of Michigan; Hongtu Zhu, The University of Texas MD Anderson Cancer Center; Joseph G Ibrahim, UNC; Yong Fan, University of Pennsylvania
2:05 PM
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Bayesian Link Model for Ineffcient E ffects in Stochastic Frontier Production Function
Seongho Song, University of Cincinnati; Younshik Chung, Pusan National University; David T. Yi, Xavier University; Myoungjin Jung, Pusan National University
3:20 PM
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Small Area Estimation in Government Surveys (U.S. Census Bureau)
Bac Tran, US Census Bureau
3:35 PM
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Wednesday, 08/02/2017
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Simulation and Power Analysis of Generalized Linear Mixed Models
Brandon LeBeau, University of Iowa
9:35 AM
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Automated Tracking of Neuronal Outgrowth by Markov Chain Monte Carlo
Alvason Li, Fred Hutchinson Cancer Research Center; Larry Corey, Fred Hutchinson Cancer Research Center; Jia Zhu, Fred Hutchinson Cancer Research Center
11:20 AM
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Bayesian Longitudinal Low-Rank Regression Models for Imaging Genetic Data from Longitudinal Studies
Zhaohua Lu, St Jude Children's Research Hospital; Zakaria Khondke, University of North Carolina at Chapel Hill; Joseph G Ibrahim, UNC; Hongtu Zhu, The University of Texas MD Anderson Cancer Center
11:35 AM
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Conditional Adaptive Bayesian Spectral Analysis of Nonstationary Biomedical Time Series
Scott Bruce, Department of Statistical Science, Temple University; Martica H Hall, University of Pittsburgh; Daniel J Buysse, Department of Psychiatry, University of Pittsburgh; Robert T Krafty, Department of Biostatistics, University of Pittsburgh
2:50 PM
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Thursday, 08/03/2017
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Bayesian Variable Selection for Linear Regression Models with Non-Normal Error Distributions
Joyee Ghosh, University of Iowa
9:05 AM
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Hierarchical Bayesian Models for Noisy Size Responses from Small Areas
Binod Manandhar, Worcester Polytechnic Institute
9:15 AM
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Bayesian Estimation Under Dependent Informative Sampling
Terrance Savitsky, U.S. Bureau of Labor Statistics; Matthew Williams, Substance Abuse and Mental Health Services Administration
9:15 AM
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Practical Bayesian inference based on Nearest Neighbor Gaussian Processes (NNGP) model for massive spatial data
Lu Zhang, UCLA; Abhirup Datta, Johns Hopkins University; Sudipto Banerjee, UCLA Fielding School of Public Health
10:05 AM
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Computationally Efficient Bayesian Estimation of High-Dimensional Copulas with Discrete and Mixed Margins
Robert Kohn, University of New South Wales
11:00 AM
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A Finite Mixture Model Approach to Regression Under Covariate Misclassification
Jingyu He; P. Richard Hahn, University of Chicago Booth School of Business; Michelle Xia, Northern Illinois University
11:35 AM
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Block-Wise Pseudo-Marginal Metropolis-Hastings
Minh-Ngoc Tran, University of Sydney Business School
11:50 AM
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