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: Markov returned 93 record(s)
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Sunday, 07/29/2018
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Monte Carlo Tree Search and AlphaZero: Past, Present, and Future
Michael Fu, Smith School of Business
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Literature-Guided Integration of Multiple GWAS Results Using Graph-GPA and DDNet
Dongjun Chung, Medical University of South Carolina; Hang J. Kim, University of Cincinnati; Zhenning Yu, Medical University of South Carolina; Andrew B Lawson, Medical University of South Carolina ; Hongyu Zhao, Yale
2:20 PM
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Optimal Timing of Stem Cell Transplant for Leukemia Patients
Xuelin Huang, University of Texas MD Anderson Cancer Center; Ruosha Li, University of Texas School of Public Health; Jorge Cortes, University of Texas MD Anderson Cancer Center
2:25 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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Statistical Modeling of Animal Movement
Louis-Paul Rivest, Université Laval
2:55 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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A Bayesian Hierarchical Model for Analyzing Methylated RNA Immunoprecipitation Sequencing Data
Minzhe Zhang, University of Texas Southwestern Medical Center; Qiwei Li, University of Texas Southwestern Medical Center; Yang Xie, University of Texas Southwestern Medical Center
4:35 PM
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Statistical Applications of CLT for Dependent Data
Martial Longla; Isidore Seraphin Ngongo, Université de Paris 1 Panthéon Sorbonne
4:50 PM
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The Convex Mixture Transition Distribution: Granger Causality Networks for Categorical Time Series
Alex Tank; Emily Fox, University of Washington; Ali Shojaie, University of Washington
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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Comparing Behavioral Dynamics Between Groups of Mice Using Hierarchical Hidden Semi Markov Models
Emmeke Aarts, Utrecht University
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Bayesian Variable Selection of Stochastic Volatility Models in Financial Time Series
Feng Chi Liu
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Mixed Latent Markov Models for Longitudinal Multiple Diagnostics Data with an Application to Salmonella in Malawi
Marc Henrion, Malawi Liverpool Wellcome Trust Clinical Research Programme; Angeziwa Chirambo, Malawi Liverpool Wellcome Trust Clinical Research Programme; Tonney C. Nyirenda, College of Medicine; Melita Gordon, Malawi Liverpool Wellcome Trust Clinical Research Programme
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Effect of Longitudinal Intracranial Pressure on Ordinal Glasgow Outcome Scale Using a Joint Model Approach
Maria Laura Rubin, The University of Texas MD Anderson Cancer Center; Wenyaw Chan, University of Texas Health Science Center at Houston; Jose-Miguel Yamal, The University of Texas Health Science Center at Houston; Claudia Sue Robertson, Baylor College of Medicine
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Modeling a Longitudinal Covariate as Continuous Time Markov Chain in a Survival Framework
Ting-Yu Chen, The University of Texas Health Science Center at Houston; Wenyaw Chan, University of Texas Health Science Center at Houston; Qiuling Shi, The University of Texas MD Anderson Cancer Center; Xin Shelley Wang, The University of Texas MD Anderson Cancer Center; Charles Cleeland, The University of Texas MD Anderson Cancer Center
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Bayesian Model Selection for Markov Chains Using Sparse Probability Vectors
Matthew Heiner, UC Santa Cruz; Athanasios Kottas, UC Santa Cruz; Stephan Munch, NOAA
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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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Modeling Sporadic Event Dynamics with Markov-Modulated Hawkes Processes
Jing Wu, Columbia University; Tian Zheng, Columbia University
9:20 AM
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Multilevel Monte Carlo for Inference
Kody Law, Oak Ridge National Laboratory
9:35 AM
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Tracing Studies in Cohorts with Attrition: Selection Models for Efficient Sampling
Leilei Zeng, University of Waterloo; Nathalie Moon , University of Waterloo; Richard John Cook, University of Waterloo
9:35 AM
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Effect of Longitudinal Intracranial Pressure on Ordinal Glasgow Outcome Scale Using a Joint Model Approach
Maria Laura Rubin, The University of Texas MD Anderson Cancer Center; Wenyaw Chan, University of Texas Health Science Center at Houston; Jose-Miguel Yamal, The University of Texas Health Science Center at Houston; Claudia Sue Robertson, Baylor College of Medicine
10:35 AM
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Mixed Latent Markov Models for Longitudinal Multiple Diagnostics Data with an Application to Salmonella in Malawi
Marc Henrion, Malawi Liverpool Wellcome Trust Clinical Research Programme; Angeziwa Chirambo, Malawi Liverpool Wellcome Trust Clinical Research Programme; Tonney C. Nyirenda, College of Medicine; Melita Gordon, Malawi Liverpool Wellcome Trust Clinical Research Programme
10:40 AM
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Modeling a Longitudinal Covariate as Continuous Time Markov Chain in a Survival Framework
Ting-Yu Chen, The University of Texas Health Science Center at Houston; Wenyaw Chan, University of Texas Health Science Center at Houston; Qiuling Shi, The University of Texas MD Anderson Cancer Center; Xin Shelley Wang, The University of Texas MD Anderson Cancer Center; Charles Cleeland, The University of Texas MD Anderson Cancer Center
10:45 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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Identifying Disease Progression Dynamics Using Electronic Medical Records
Xiaochen Wang; Hongyu Zhao, Yale
11:50 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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Maximum Diversity Weighting for Biomarkers with Application in HIV-1 Vaccine Studies
Zonglin He, Fred Hutchinson Cancer Research Center; Youyi Fong, Fred Hutchinson Cancer Research Center
11:55 AM
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Bayesian Model Selection for Markov Chains Using Sparse Probability Vectors
Matthew Heiner, UC Santa Cruz; Athanasios Kottas, UC Santa Cruz; Stephan Munch, NOAA
12:00 PM
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Nonparametric Bayesian Priors for Hidden Markov Random Fields
Florence Forbes, INRIA; Hongliang Lu, INRIA; Julyan Arbel, INRIA
2:05 PM
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Likelihood Based Dynamic Connectivity Analysis Using Hidden Semi-Markov Models
Heather Shappell, Johns Hopkins University Bloomberg School of Public Health; Brian Caffo, Johns Hopkins University; James Pekar, Johns Hopkins University F.M. Kirby Research Center; Martin A Lindquist, Johns Hopkins University
2:35 PM
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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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Tuesday, 07/31/2018
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Beach Volleyball Team Optimization
Matthew Oehler, BYU
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Differentiable Approximations of Hidden Markov Models for Variational Bayesian Inference
Lun Yin, Duke Institute for Brain Sciences; John Pearson, Duke University
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A Bayesian Hidden Markov Model for Detecting Differentially Methylated Regions
Tieming Ji, University of Missouri at Columbia
8:35 AM
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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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A Hidden Markov Modeling Approach for Identifying tumor Subclones in Next-Generation Sequencing Studies
Hyoyoung Choo-Wosoba, NCI/DCEG/BB; Paul S Albert, National Cancer Institute; Bin Zhu, NIH/NCI
9:05 AM
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Estimating Behavioral Transition Probabilities of Greater White-Fronted Geese Using Non-Homogenous Markov Models
Toryn Schafer, University of Missouri; Christopher K. Wikle, University of Missouri; Mitchell Weegman, University of Missouri
9:05 AM
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A Bayesian Nonparametic Approach to Multistate Models
Richard Warr, Brigham Young University
9:15 AM
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A Dynamic Individual-Based Model of Ant Interaction Events
Nathan Wikle; Ephraim Hanks, The Pennsylvania State University; David Hughes, Pennsylvania State University
9:50 AM
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Beach Volleyball Team Optimization
Matthew Oehler, BYU
10:40 AM
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Differentiable Approximations of Hidden Markov Models for Variational Bayesian Inference
Lun Yin, Duke Institute for Brain Sciences; John Pearson, Duke University
10:45 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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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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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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From Markov Models to Poisson Point Processes: Modeling Player Movement in the NBA
Jacob Mortensen, Simon Fraser University; Luke Bornn, Sacramento Kings and Simon Fraser University
2:05 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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Modeling Changes in the Age Distribution of Opioid Mortality
Patrick E Brown, University of Toronto; Ye Lennon Li, Public Health Ontario
2:20 PM
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Boolean Function Networks
Henry Lu, National Chiao Tung University
2:20 PM
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Multi-Scale Modeling of Animal Movement and General Behavior Data Using Hidden Markov Models with Hierarchical Structures
Vianey Leos Barajas, Iowa State University; Eric Gangloff, Station d'Ecologie Théorique et Expérimentale du CNRS; Timo Adam, Bielefeld University; Roland Langrock, Bielefeld University; Juan Morales, INIBIOMA-CRUB CONICET
2:30 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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Removing Absorbing States from Markov Chain Models
Li-Hsuan Huang; Harish S. Bhat, University of California, Merced; Sebastian Rodriguez, Northwestern 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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Complexity Results for MCMC Derived from Quantitative Bounds
Jun Yang, University of Toronto; Jeffrey S Rosenthal, University of Toronto
3:05 PM
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Recreating Plays - Testing Shot Policies in Basketball Using Non-Stationary Markov Decision Processes
Nathan Sandholtz, Simon Fraser University; Luke Bornn, Sacramento Kings and Simon Fraser University
3:05 PM
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Data Collection Issues in Modeling and Estimation of Urban Transportation Networks
Isabelle Kemajou-Brown, Morgan State University; Jasmine Alston, Morgan State University; Paul Bikoi, Morgan State University; Eugene Evans, Morgan State University; Xilei Zhao, University of Michigan; James C. Spall, Applied Physics Laboratory
3:35 PM
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Wednesday, 08/01/2018
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Modeling the Progression of HIV/AIDS by a Hidden Markov Model(HMM)
Sanam Sanei, Penn State; Shanglun Li, Penn State; Le Le Bao, Penn State University
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A Spatially Correlated Auto-Regressive Model for Count Data with Applications for Modeling Crime
Nicholas Clark, Iowa State University; Philip M Dixon, Iowa State University
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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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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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A Spatially Correlated Auto-Regressive Model for Count Data with Applications for Modeling Crime
Nicholas Clark, Iowa State University; Philip M Dixon, Iowa State University
9:05 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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Markov-Modulated Continuous-Time Markov Chains to Identify Site- and Branch-Specific Evolutionary Variation
Guy Baele, KU Leuven
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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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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Predictive Distribution of Anticipative Alpha-Stable Markov Processes
Sebastian Fries, Paris-Saclay University, Faculty of Mathematics & CREST
8:35 AM
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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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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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Composite Local Bregman Divergences for Conditional Discrete Exponential Families
Mitsunori Ogawa, The University of Tokyo
9:20 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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Visualizing Clustering and Uncertainty Analysis of Multivariate Time-Series Data
Kristin Divis, Sandia National Laboratories; Maximillian Chen, Sandia National Laboratories; Laura A McNamara, Sandia National Laboratories; Dan Morrow, Sandia National Laboratories
9:35 AM
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An Approximation to the Information Matrix of Hidden Markov Model
Qing Ji, University of Maryland, Baltimore County; Andrew Raim, U.S. Census Bureau; Nagaraj Neerchal, University of Maryland, Baltimore County
9:50 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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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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