Keyword Search
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CC = Vancouver Convention Centre F = Fairmont Waterfront Vancouver
* = applied session ! = JSM meeting theme
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Keyword Search Criteria: Monte Carlo returned 74 record(s)
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Sunday, 07/29/2018
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A Hybrid Method of the Sequential Monte Carlo and the Edgeworth Expansion for Computation of Very Small P-Values in Permutation Tests
James Jian Yang, University of Michigan; Anne YuhPey Buu, University of Michigan
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Monte Carlo Tree Search and AlphaZero: Past, Present, and Future
Michael Fu, Smith School of Business
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A Hybrid Method of the Sequential Monte Carlo and the Edgeworth Expansion for Computation of Very Small P-Values in Permutation Tests
James Jian Yang, University of Michigan; Anne YuhPey Buu, University of Michigan
2:20 PM
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Bayesian Inference for Phylogenetic Trees and Networks
Liangliang Wang, Simon Fraser University; Shijia Wang, Simon Fraser University; Alexandre Bouchard-Côté, University of British Columbia
2:45 PM
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Monte Carlo Tree Search and AlphaZero: Past, Present, and Future
Michael Fu, Smith School of Business
3:00 PM
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Spatio-Temporal Models for Big Multinomial Data Using the Conditional Multivariate Logit-Beta Distribution
Scott H. Holan, University of Missouri/U.S. Census Bureau; Jonathan R Bradley, Florida State University; Christopher K. Wikle, University of Missouri
4:05 PM
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Probabilistic Analysis of Modified Risk Tobacco Product Effects on Population Health
Bill Poland, Certara; Sylvain Larroque, JT International SA
5:05 PM
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Monday, 07/30/2018
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Bayesian Phylogenetic Inference via Particle Gibbs Sampler with Ancestor Sampling
Shijia Wang, Simon Fraser University; Liangliang Wang, Simon Fraser University
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Sequential Modeling of Spatial Temporal Image Data
Shufei Ge, Simon Fraser University; Shijia Wang, Simon Fraser University; Liangliang Wang, Simon Fraser University; Farouk Nathoo, University of Victoria
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EAinference: An R Package for Simulation-Based Inference via Estimator Augmentation
Seunghyun Min, UCLA; Qing Zhou, UCLA
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A Normalizing Function Emulation Approach for Doubly Intractable Distributions
Jaewoo Park, Pennsylvania State University; Murali Haran, Penn State University
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HMC on Symmetric Spaces
Alessandro Barp, Imperial College London; Anthony Kennedy, The University of Edinburgh; Mark Girolami, Imperial College London
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Bayesian Variable Selection of Stochastic Volatility Models in Financial Time Series
Feng Chi Liu
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Continuous Tempering Through Path Sampling
Yuling Yao, Columbia Univ; Andrew Gelman, Columbia University
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Classification Accuracy of Unsupervised Learning Methods with Discrete and Mixture Distributed Indicators: a Monte Carlo Simulation Study
Chi Chang
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Pseudo-Marginal Markov Chain Monte Carlo via Random Riemann Sums for Stochastically Scaled Gaussian Vectors
Patrick Muchmore
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Combining Predictive Mean Matching with the Penalized Spline of Propensity Prediction Method When Performing Multiple Imputation
Jay Xu; Roee Gutman, Brown University
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An Exact Local Bouncy Particle Sampler Combined with Hamiltonian Monte Carlo Algorithms for Continuous Time Markov Chains
Tingting Zhao, University of British Columbia; Alexandre Bouchard-Côté, University of British Columbia
8:35 AM
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Robust Pulsar Timing Inference with Non-Gaussian Distributions
Hyungsuk Tak, SAMSI; Justin A. Ellis, West Virginia University; Sujit Ghosh, North Carolina State Univ.
8:55 AM
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Multilevel Monte Carlo for Inference
Kody Law, Oak Ridge National Laboratory
9:35 AM
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Bayesian Framework for Embedded Model Error Representation and Quantification
Khachik Sargsyan, Sandia National Labs/California; Xun Huan, Sandia National Labs/California; Habib Najm, Sandia National Labs/California
10:55 AM
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Pseudo-Marginal Markov Chain Monte Carlo via Random Riemann Sums for Stochastically Scaled Gaussian Vectors
Patrick Muchmore
11:05 AM
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Constructing a Synthetic Population for Community Profiling Using Publicly Available Data
Joshua Goldstein, Social and Decision Analytics Laboratory, Virginia Tech; David Higdon, Virginia Tech
11:15 AM
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Beyond Random-Walk MCMC for Bayesian Phylogenetics
Frederick Matsen, Fred Hutchinson Cancer Research Center
11:35 AM
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Combining Predictive Mean Matching with the Penalized Spline of Propensity Prediction Method When Performing Multiple Imputation
Jay Xu; Roee Gutman, Brown University
11:50 AM
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Using Concomitant and Nested Simulation for Tail Risk Measure Estimation
Mingbin Feng, University of Waterloo
11:55 AM
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Practical Bayesian Inference for Record Linkage
Brendan McVeigh, Carnegie Mellon University; Jared S Murray, University of Texas at Austin
2:45 PM
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Variance Estimation Under Imputation Using the Rescaling Bootstrap
Christian Bruch, University of Mannheim
3:05 PM
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Tuesday, 07/31/2018
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Generating Survival Times Using Cox Proportional Hazards Models with Cyclic Time-Varying Covariates
Yunda Huang, Fred Hutchinson Cancer Research Center; Lily Zhang, Fred Hutchinson Cancer Research Center; Zong Zhang, Interlake High School; Peter Gilbert, Fred Hutchinson Cancer Research Center
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Statistical Precision of Time-to-Event Endpoint in Single Arm Observational Study Using Monte Carlo Simulation
Meijing Wu, AbbVie; Hongwei Wang, AbbVie Inc; Yabing Mai, AbbVie, Inc; Dajun Tian, Chiltern
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Causal Inference with Complex Surveys: a Comparison of Propensity Score Based Methods
Daniele Bottigliengo, Università degli Studi di Padova; Ileana Baldi, Università degli Studi di Padova; Corrado Lanera, Università degli Studi di Padova; Dario Gregori, Università degli Studi di Padova; Paola Berchialla, Università degli Studi di Torino
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Predicting the Count of Tropical Storms with Bayesian Model Averaging
Joyee Ghosh, University of Iowa
8:50 AM
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Bayesian Inference for Conditional Copulas Using Gaussian Process Single Index Models
Radu V Craiu, University of Toronto; Evgeny Levi, University of Toronto
9:00 AM
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Flexible Stochastic Growth Models and Their Experimental Design
Nikolaos Demiris, Athens University of Economics and Business; Konstantinos Kalogeropoulos, London School of Economics; Nikolas Kantas, Imperial College London
10:35 AM
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Bayesian Monte Carlo Method for Estimating Small Area Complex Parameters Under Unit-Level Models with Skew-Normal Errors
Mamadou Diallo; Balgobin Nandram, Worcester Polytechnic Institute; J. N. K. Rao, Carleton University
10:35 AM
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Integrated Analysis of the Life-Cycle Interactions Between Health and Socioeconomic Status
Ivan Jeliazkov, University of California - Irvine; Angela Vossmeyer, Claremont McKenna College
10:55 AM
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Statistical Precision of Time-to-Event Endpoint in Single Arm Observational Study Using Monte Carlo Simulation
Meijing Wu, AbbVie; Hongwei Wang, AbbVie Inc; Yabing Mai, AbbVie, Inc; Dajun Tian, Chiltern
11:20 AM
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Variational Hamiltonian Monte Carlo via Score Matching
Cheng Zhang, Fred Hutchinson Cancer Research Center
11:25 AM
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Flexible Bayesian Quantile Regression in Ordinal Models
Mohammad Arshad Rahman, Indian Institute of Technology Kanpur; Shubham Karnawat, Credit Suisse
11:35 AM
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AAA: Triple-Adaptive Bayesian Designs for the Identification of Optimal Dose Combinations in Dual-Agent Dose-Finding Trials
Jiaying Lyu, University of Chicago; Fudan University; Yuan Ji, NorthShore Univ. HealthSystem / The University of Chicago
11:55 AM
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Causal Inference with Complex Surveys: a Comparison of Propensity Score Based Methods
Daniele Bottigliengo, Università degli Studi di Padova; Ileana Baldi, Università degli Studi di Padova; Corrado Lanera, Università degli Studi di Padova; Dario Gregori, Università degli Studi di Padova; Paola Berchialla, Università degli Studi di Torino
11:55 AM
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A Conditional Test for Homogeneity of Several Order-Restricted Normal Mean Vectors
Madhurima Majumder, Bayer Pharmaceuticals; Michael McDermott, University of Rochester Medical Center
12:05 PM
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Hierarchical Bayesian Analysis for Stochastic Frontier Production Function Model
Seongho Song, University of Cincinnati; Younshik Chung, Pusan National University; David Taesok Yi, Xavier University
2:05 PM
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Computer Model Calibration of Static Systems Using Sequential Monte Carlo Methods
Murali Haran, Penn State University; Ben Seiyon Lee, Penn State University; Klaus Keller, Penn State University
2:25 PM
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A New Diagnostic for MCMC Output Analysis
Nathan Lane Robertson, University of California, Riverside; James Flegal, University of California, Riverside
2:35 PM
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Fully Bayesian Analysis of Hierarchical Count Regression Models
Jarad Niemi, Iowa State University; William Landau, Eli Lilly and Company; Dan Nettleton, Iowa State University
2:50 PM
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Bayesian Inference for Multistate Step-and-Turn Animal Movement in Continuous Time
Alison Parton, University of Sheffield; Paul G Blackwell, University of Sheffield
2:55 PM
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A Comparison of Bayesian and Monte Carlo Sensitivity Analysis for Unmeasured Confounding
Lawrence McCandless, Simon Fraser University; Paul Gustafson, University of British Columbia
2:55 PM
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Wednesday, 08/01/2018
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Estimating Efficacies of Supplementary Immunization Activities via Discrete Time Modeling of Disease Incidence Time Series
Qi Dong, University of Washington; Jon Wakefield, Univ of Washington; Kevin McCarthy, Institute for Disease Modeling; Niket Thakkar, Institute for Disease Modeling; Kurt Frey, Institute for Disease Modeling
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A Monte Carlo Simulation of the Effects of Ignoring Measurement Non-Invariance on the Standard Error for Mean Difference Testing
Scott Colwell, University of Guelph; Theodore J Noseworthy, York University
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Simulation-Based Uncertainty Quantification for Optimal Estimation Remote Sensing Retrievals
Amy Braverman, Jet Propulsion Laboratory; Jonathan Hobbs, Jet Propulsion Laboratory
8:35 AM
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Convergence Complexity Analysis of Albert and Chib's Algorithm
Qian Qin, University of Florida; James P. Hobert, University of Florida
8:35 AM
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MCMC for High-Dimensional Bayesian Regression
Dootika Vats
8:55 AM
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Multivariate Output Analysis for Markov Chain Monte Carlo
James Flegal, University of California, Riverside
9:15 AM
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Estimating Efficacies of Supplementary Immunization Activities via Discrete Time Modeling of Disease Incidence Time Series
Qi Dong, University of Washington; Jon Wakefield, Univ of Washington; Kevin McCarthy, Institute for Disease Modeling; Niket Thakkar, Institute for Disease Modeling; Kurt Frey, Institute for Disease Modeling
9:20 AM
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A Monte Carlo Simulation of the Effects of Ignoring Measurement Non-Invariance on the Standard Error for Mean Difference Testing
Scott Colwell, University of Guelph; Theodore J Noseworthy, York University
9:30 AM
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Genome-Wide Gaussian Process Regression for Survival Time Prediction
Aaron J. Molstad, Fred Hutchinson Cancer Research Center; Wei Sun, Fred Hutchinson Cancer Research Center; Li Hsu, Fred Hutchinson Cancer Research Center, USA
9:50 AM
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Estimating the Optimal Number and Location of Cut Points in Survival Analysis
Chung Chang, National Sun Yat-sen University
11:05 AM
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Flexible Dynamic Modeling of Correlation and Covariance Matrices for Spatio-Temporal Data Analysis
Babak Shahbaba, UCI; Andrew James Holbrook, UC Irvine; Gabriel Elias, UC Irvine; Norbert J. Fortin, UC Irvine; Hernando Ombao, UC Irvine; Shiweil Lan, CalTech
11:15 AM
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AAA: Triple-Adaptive Bayesian Designs for the Identification of Optimal Dose Combinations in Dual-Agent Dose-Finding Trials
Yuan Ji, NorthShore Univ. HealthSystem / The University of Chicago; Jiaying Lyu, Fudan Universtiy
11:35 AM
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Bayesian Nonparametrics for Evolutionary Model Selection
Mandev Gill
11:55 AM
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Inference on the Future State of the Climate Through Combining Multiple Interdependent Climate Model Outputs with Observations Using Bayesian Hierarchical Models
Huang Huang, SAMSI; Dorit Hammerling, National Center for Atmospheric Research; Bo Li, University of Illinois at Urbana-Champaign; Richard Smith, Statistical Applied Mathematical Sciences Institute
2:20 PM
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Unified Estimation Methods for Unnormalized Models Using Auxiliary Distributions
Masatoshi Uehara, Harvard Unversity; Xiao-Li Meng, Harvard University
2:35 PM
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Teaching Markov Chains Using Java Applets
Jeffrey S Rosenthal, University of Toronto
2:45 PM
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Thursday, 08/02/2018
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A Hierarchical Bayesian Markov-Dependent Model for Lifetime Persistence and Recurrence of Major Depressive Episodes
Chenyang Gu, Harvard Medical School; Alan Zaslavsky, Harvard University Medical School; Ronald Kessler, Harvard Medical School
8:35 AM
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Extended Ensemble Kalman Filters for High-Dimensional Hierarchical State-Space Models
Jonathan Stroud, Georgetown University; Matthias Katzfuss, Texas A&M University; Christopher K. Wikle, University of Missouri
9:15 AM
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Latent Space Approaches to Community Detection in Dynamic Networks
Yuguo Chen, University of Illinois at Urbana-Champaign; Daniel Sewell, University of Iowa
9:15 AM
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Estimating Clusters from Multivariate Binary Data via Hierarchical Bayesian Boolean Matrix Factorization
Zhenke Wu, University of Michigan; Livia Casciola-Rosen, Johns Hopkins University School of Medicine; Antony Rosen, Johns Hopkins University School of Medicine; Scott Zeger, Johns Hopkins Biostatistics
9:20 AM
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Spatial Modeling of Diffusion Tensor Imaging Data from a Cocaine Addiction Study
Dipankar Bandyopadhyay, Virginia Commonwealth University; Zhou Lan, North Carolina State University; Brian Reich, North Carolina State University; Joseph Guinness, NC State University
9:55 AM
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Bayesian Logistic Regression Model for Sub-Areas
Lu Chen, Worcester Polytechnic Institute; Balgobin Nandram, Worcester Polytechnic Institute
10:50 AM
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Bayesian Analysis with Orthogonal Matrix Parameters
Michael Jauch, Duke University; Peter Hoff, Duke University; David B Dunson, Duke University
11:05 AM
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Efficient and Principled Score Estimation
Arthur Gretton, UCL
11:25 AM
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Bayesian Single-Index Model for Bounded Mental Health Response with Functional Covariates
Debajyoti Sinha, Florida State University; STUART LIPSITZ, HARVARD MEDICAL SCHOOL
11:50 AM
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Fast Maximum Likelihood Inference for Spatial Generalized Linear Mixed Models
Yawen Guan, The Statistical and Applied Mathematical Sciences Institute; Murali Haran, Penn State University
11:50 AM
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