Keyword Search
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* = applied session ! = JSM meeting theme
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Keyword Search Criteria: Bayesian model returned 56 record(s)
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Monday, 07/31/2017
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Survival Prediction in Early-Stage Lung Cancer via Bayesian Model Averaging of Nonparametric Accelerated Failure Time Models
Kijoeng Nam, Merck; Nicholas Henderson, Johns Hopkins University ; Dai Feng, Merck
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Efficient Algorithm for Multiple Imputation of Missing Health Outcomes
Chris Liu, University of Michigan-School of Nursing
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Modeling Spatial Extremes Using Positive Stable Mixtures
Gregory Bopp
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Kernel-Based Bayesian Model for Genomic Selection
Xiaowei Hu, Oklahoma State University; charles chen, oklahoma state university; lan zhu, oklahoma state university
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Bayesian Adjustment for Confounding When Estimating Average Causal Effects for Time-To-Event Outcomes
Li Xu; Arnold Stromberg, Department of Statistics, University of Kentucky; Chi Wang, Cancer Biostatistics, University of Kentucky
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Detection of Prostate Cancer with Multi-Parametric MR Imaging Models Utilizing the Anatomic Structure of the Prostate
Jin Jin, University of Minnesota; Joseph Koopmeiners, University of Minnesota; Lin Zhang, University of Minnesota; Greg Metzger, University of Minnesta; Ethan Leng, University of Minnesta
8:35 AM
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Modeling Spatial Extremes Using Positive Stable Mixtures
Gregory Bopp
8:45 AM
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Objective Bayesian Modeling of Count Data
Si Cheng, University of Cincinnati; Xia Wang, University of Cincinnati
8:50 AM
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Bayesian Adjustment for Confounding When Estimating Average Causal Effects for Time-To-Event Outcomes
Li Xu; Arnold Stromberg, Department of Statistics, University of Kentucky; Chi Wang, Cancer Biostatistics, University of Kentucky
9:00 AM
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Kernel-Based Bayesian Model for Genomic Selection
Xiaowei Hu, Oklahoma State University; charles chen, oklahoma state university; lan zhu, oklahoma state university
10:45 AM
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A Markov Switching Causal-Noncausal Autoregressive Model with Application to Economic Bubbles
Anton Lobach, University of Rhode Island. Dept. of Computer Science and Statistics; Gavino Puggioni, University of Rhode Island, Department of Computer Science and Statistics
10:50 AM
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Bayesian Modeling and Decision Theory for Non-Homogeneous Poisson Point Processes
Jiaxun Chen, University of Missouri-Columbia; Athanasios Micheas, Univ of Missouri- Columbia; Scott H. Holan, University of Missouri
12:05 PM
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ASID: A Bayesian Adaptive Subgroup-Identification Enrichment Design
Florica Constantine, Johns Hopkins University; Yanxun Xu, Johns Hopkins University; Yili L Pritchett, MedImmune; Zhilin Jin, Johns Hopkins University
2:50 PM
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Tuesday, 08/01/2017
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A Bayesian Model for Integrating High-Throughput Multi-Omics Data with Missingness Handling
Zhou Fang, Department of Biostatistics, University of Pittsburgh; Tianzhou Ma, Department of Biostatistics, University of Pittsburgh; Li Zhu, University of Pittsburgh; George Tseng, University of Pittsburgh; Qi Yan, Division of Pulmonary Medicine, Allergy and Immunology, Children's Hospital of Pittsburgh ; Wei Chen, University of Pittsburgh
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Image-On-Image Regression: a Spatial Bayesian Latent Factor Model for Predicting Task-Evoked Brain Activity Using Task-Free MRI
Cui Guo, University of Michigan
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Comparing Biomarker-Guided Treatment Strategies Using Local Posterior Predictive Benefit
Meilin Huang, The University of Texas MD Anderson Cancer Center; Brian P. Hobbs, The University of Texas MD Anderson Cancer Center
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Adaptive Bayesian Modeling and Prediction of Patient Accrual with Varying Activation Time in Multicenter Clinical Trials
Junhao Liu, University of Kansas Medical Center; Yu Jiang, School of Public Health, University of Memphis; Jo Wick, University of Kansas Medical Center; Byron Gajewski, Department of Biostatistics, University of Kansas Medical Center
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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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Bayesian Semiparametric Modeling of Near Infra-Red Spectroscopy Data
Timothy D Johnson, University of Michigan
8:35 AM
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Optimising Inflation Forecasts Based on Web-Scraped Price Data
Ben Powell, University of Bristol
8:35 AM
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Comparing Biomarker-Guided Treatment Strategies Using Local Posterior Predictive Benefit
Meilin Huang, The University of Texas MD Anderson Cancer Center; Brian P. Hobbs, The University of Texas MD Anderson Cancer Center
8:55 AM
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Bayesian models and the parametric G-formula in time-dependent settings: robustness and sensitivity analysis
Arielle K Anglin, Department of Biostatistics, University of Pennsylvania; Jason A Roy, University of Pennsylvania
9:05 AM
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A Partition Weighted Kernel (PWK) Method for Estimating Marginal Likelihoods
Ming-Hui Chen, University of Connecticut; Yu-Bo Wang, National Institutes of Health; Lynn Kuo, University of Connecticut; Paul O. Lewis, University of Connecticut
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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Adaptive Bayesian Modeling and Prediction of Patient Accrual with Varying Activation Time in Multicenter Clinical Trials
Junhao Liu, University of Kansas Medical Center; Yu Jiang, School of Public Health, University of Memphis; Jo Wick, University of Kansas Medical Center; Byron Gajewski, Department of Biostatistics, University of Kansas Medical Center
10:40 AM
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A Hierarchical Spatio-Temporal Analog Forecasting Model for Nonlinear Ecological Processes
Patrick McDermott, University of Missouri; Christopher Wikle, University of Missouri; Joshua Millspaugh, University of Montana
10:55 AM
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Is Tennis' Time Violation Policy Unfair? Understanding the Time-To-Serve of Professional Tennis Players Using a Hierarchical Bayesian Model
Stephanie Kovalchik, Tennis Australia; James Albert, Bowling Green State University
11:15 AM
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Semiparametric Bayesian Models for Unbalanced Matched Case-Crossover Approach
Inyoung Kim, Virginia Tech; Feng Guo, Virginia Tech
11:15 AM
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Bayesian Model Assessment and Selection Using Bregman Divergence
Dipak K Dey, university of connecticut; Gyuhyeong Goh, Kansas State University
11:35 AM
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Spatial Small Area Smoothing Models for Handling Survey Data with Nonresponse
Kevin Watjou, Hasselt University; Christel Faes, University Hasselt; Russell S. Kirby, College of Public Health, University of South Florida; Andrew Lawson, Department of Public Health Sciences, Medical University of South Carolina; Rachel Carroll, National Institute of Environmental Health Sciences; Mehreteab Aregay, Department of Public Health Sciences, Medical University of South Carolina; Yannick Vandendijck, University Hasselt
2:05 PM
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A Bayesian Variable Selection Approach Yields Improved Brain Activation from Complex-Valued fMRI
Cheng-Han Yu, UC Santa Cruz; Raquel Prado, UC Santa Cruz; Hernando Ombao, KAUST and UC Irvine; Daniel B. Rowe, Marquette University
3:05 PM
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Using Phylogenetic Models for Quantitative Trait Mapping with Multiple Loci
Katherine Thompson, University of Kentucky; Catherine Linnen, University of Kentucky
3:35 PM
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Wednesday, 08/02/2017
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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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Consistency in Professional Sports: The NFL's Parity Paradox
Michael J. Lopez, Skidmore College; Gregory Matthews, Loyola University Chicago; Benjamin Baumer, Smith College
9:15 AM
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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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Fast and Accurate Bayesian Model Criticism and Conflict Detection Using Integrated Nested Laplace Approximations (INLA)
Egil Ferkingstad, University of Iceland; Leonhard Held, University of Zurich; Havard Rue, KAUST
11:05 AM
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Business Cycle Synchronization: A Bayesian Model of Survey Forecasts
Kajal Lahiri, SUNY - Albany; Herbert Zhao, Towson University
11:05 AM
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Bayesian Model Selection in the Presence of Heteroscedasticity in Linear Models
Thomas Metzger, Virginia Tech; Christopher T. Franck, Virginia Tech Department of Statistics
11:35 AM
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Bayesian Modeling of Uncertainties in End-Use Electricity Consumption Amounts Inferences
Hiroaki Minato, U. S. Energy Information Administration (EIA)
11:50 AM
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A Study of Delay Discounting Using Bayesian Model Selection
Christopher T. Franck, Virginia Tech Department of Statistics
11:50 AM
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Deformation Model Transfer via Equivalent Effects of Lurking Variables in Additive Manufacturing
Arman Sabbaghi, Purdue University; Qiang Huang, University of Southern California
2:05 PM
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Spatially-Dependent Multiple Testing Under Model Misspecification, with Application to Extreme Event Attribution
Mark Risser, Lawrence Berkeley National Laboratory; Christopher Paciorek, University of California, Berkeley
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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Optimal Positioning of Mobile Radiation Sensors Using Mutual Information
Kathleeen Schmidt, Lawrence Livermore National Laboratory; Ralph Smith, North Carolina State University; Jason HIte, North Carolina State University; John Mattingly, North Carolina State University
9:20 AM
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A Model-Based Approach to Crop Yield Forecasting
Nathan Cruze, USDA-NASS; Habtamu Benecha, USDA National Agricultural Statistics Service
9:35 AM
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Bayesian Model Averaging in Multiple Imputation Under Informative Sampling
Gyuhyeong Goh, Kansas State University; Jae-kwang Kim, Iowa State University
10:35 AM
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Reconciling Curvature and Importance Sampling Based Procedures for Summarizing Case Influence in Bayesian Models
Zachary Micah Thomas, Eli Lilly and Company; Mario Peruggia, The Ohio State University; Steven MacEachern, The Ohio State University
10:35 AM
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Bayesian Finite Population Inference for Skewed Survey Data Using Skew-Normal Penalized-Spline Regression
Qixuan Chen, Columbia University; Yutao Liu, Columbia University
11:05 AM
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Empirical Bayes Model Averaging with Influential Observations
Christopher Hans, The Ohio State University; Mario Peruggia, The Ohio State University; Junyan Wang, The Ohio State University
11:25 AM
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Bayesian Modeling for Weighting Adjustment and Inference in Sample Surveys
Yajuan Si, University of Wisconsin-Madison
11:35 AM
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On the Use of Empirical Bayes Techniques to Bridge from an in Vitro System to a Clinical Trial
Ya Meng, Sanofi Pasteur; Camille Salamand, Sanofi Pasteur; Robert D. Small, Sanofi Pasteur
11:35 AM
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