Keyword Search
Sessions Were Renumbered as of May 19.
Legend:
CC-W = McCormick Place Convention Center, West Building, CC-N = McCormick Place Convention Center, North Building
H = Hilton Chicago, UC= Conference Chicago at University Center
* = applied session ! = JSM meeting theme
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Keyword Search Criteria: Bayesian inference returned 38 record(s)
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Monday, 08/01/2016
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Examples of How a P-Value Interpretation Depends on the Underlying Statistical Philosophy
Andrew Neath, Southern Illinois University
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Bayesian Inference for Unidirectional Misclassification in Ordinal Covariates
Liangrui Sun; Chaoxiong Xia, Northern Illinois University; Yuanyuan Tang, Saint Luke's Health System; Shun Takai, Northern Illinois University
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P-Value Overdose in Medical Research: Problems and Solutions
J. Jack Lee, MD Anderson Cancer Center
9:15 AM
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A Note on Multiple Imputation Under Informative Sampling
Jae-kwang Kim, Iowa State University; Shu Yang, Harvard
10:35 AM
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Examples of How a P-Value Interpretation Depends on the Underlying Statistical Philosophy
Andrew Neath, Southern Illinois University
11:30 AM
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Bayesian Inference for Unidirectional Misclassification in Ordinal Covariates
Liangrui Sun; Chaoxiong Xia, Northern Illinois University; Yuanyuan Tang, Saint Luke's Health System; Shun Takai, Northern Illinois University
11:30 AM
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Bayesian Bounding of the Population Subgroup Which Benefits from Treatment
Patrick Schnell, University of Minnesota; Qi Tang, AbbVie; Walt Offen, AbbVie; Bradley Carlin, University of Minnesota
3:05 PM
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Approximations of Markov Chains and Bayesian Inference
James Johndrow, Duke University; Jonathan Mattingly, Duke University; Sayan Mukherjee, Duke University; David Dunson, Duke University
3:05 PM
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Robust Bayesian Inference via the Tilted Posterior
Yixin Wang, Columbia University; David Blei, Columbia University
3:35 PM
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Tuesday, 08/02/2016
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Bayesian Causal Inference Analyses with Unmeasured Confounders
Negar Jaberansari, University of Cincinnati; Bin Huang, Cincinnati Children's Hospital Medical Center
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A Statistical-Dynamical Approach to Probabilistic Decadal Climate Predictions
Francisco Beltran, Lawrence Livermore National Laboratory
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Phylodynamic Individual-Level Models: Strategies for Simulation and Inference
Justin Angevaare, University of Guelph; Zeny Feng, University of Guelph; Rob Deardon, University of Calgary
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An Informative Prior Approach to a Bivariate Zero-Inflated Poisson Regression Model
Madeline Drevets, Baylor University
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Bayesian Approach to Sample Size Determination for Multilevel Logistic Regression Models with Misclassified Outcomes
Tyler Nelson, Baylor University
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Bayesian Inference with Half a Prior
Keli Liu, Stanford University; Xiao-Li Meng, Harvard
9:00 AM
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Network Meta-Analysis of Multiple Factors
Lifeng Lin, University of Minnesota; Haitao Chu, University of Minnesota
10:05 AM
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Bayesian Latent Variable Modeling of Genetic Pleiotropy Data
Lei Sun, University of Toronto; Lizhen Xu, University of Toronto; Radu V. Craiu, University of Toronto; Andrew Paterson, Hospital for Sick Children
11:05 AM
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Analysis of Distributional Variation: A Multi-Resolution Scanning Approach with Applications to DNase-Seq Analysis
Li Ma, Duke University
11:35 AM
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Bayesian Inversion of a Large Spatial Field Using Predictive Process
Anirban Mondal, Case Western Reserve University
12:05 PM
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Remote Sensing Retrievals for Atmospheric Carbon Dioxide: Quantifying Uncertainty in the Presence of Nonlinearity and Nuisance Parameters
Jonathan Hobbs, Jet Propulsion Laboratory; Amy Braverman, Jet Propulsion Laboratory; Jenny Brynjarsdottir, Case Western Reserve University; Noel Cressie, University of Wollongong ; Dejian Fu, Jet Propulsion Laboratory; Robert Granat, Jet Propulsion Laboratory; Michael Gunson, Jet Propulsion Laboratory; Joaquim Teixeira, University of California at Los Angeles
2:05 PM
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Automatic Variational Inference in Stan
Alp Kucukelbir; Dustin Tran; Rajesh Ranganath, Princeton; Andrew Gelman, Columbia University; David Blei, Columbia University
2:45 PM
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MCMC Algorithms for Bayesian Inference with Stochastic Differential Equations
Harish S. Bhat, University of California at Merced; R. W. M. A. Madushani, University of California at Merced; Shagun Rawat, University of California at Merced
3:35 PM
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Wednesday, 08/03/2016
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Bayesian Inference in Nonparanormal Graphical Models
Jami Jackson, North Carolina State University; Subhashis Ghosal, North Carolina State University
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Robust Bayesian Inference via Coarsening
Jeffrey Miller, Duke University; David Dunson, Duke University
8:55 AM
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A New Class of Nonseparable Bayesian Hierarchical Spatial Modeling for Sparse Gaussian Processes
Bledar Konomi, University of Cincinnati
9:20 AM
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A Hybrid M-Estimation Method with Application in Simultaneous Tuning and Calibration for Computer Experiments
Gang Han, Texas A&M University; Ao Yuan, Georgetown University; Qizhai Li, Chinese Academy of Sciences; Haiqun Lin, Yale School of Public Health; Thomas Santner, The Ohio State University
10:35 AM
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A Bayesian Approach to Smoothed Lexis Diagram with Applications to Breast Cancer
I-Shou Chang, National Health Research Institutes
10:35 AM
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An Auxiliary-Variable Gibbs Sampler for Diffusions
Vinayak Rao, Purdue University; Yee Whye Teh, University of Oxford
10:35 AM
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Modeling Material Stress Using Integrals of Gaussian Markov Random Fields
Peter Marcy, Los Alamos National Laboratory; Scott Vander Wiel, Los Alamos National Laboratory; Curtis Storlie, Mayo Clinic
11:05 AM
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Gaussian Process Emulator-Based Inference for Spatial Models of Infectious Disease Systems
Rob Deardon, University of Calgary; Gyanendra Pokharel, University of Calgary
11:15 AM
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Fully Bayesian Inference in Functional Principal Component Analysis for the Opioid Dependence Treatment Data
Jun Ye; Yehua Li, Iowa State University; Yongtao Guan, University of Miami
12:05 PM
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Quantifying the Causal Effect of Speed Cameras on Road Traffic Accidents via an Approximate Bayesian Doubly Robust Estimator
Daniel Graham, Imperial College London; Haojie Li, Southeast University
2:20 PM
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Adaptive Bayesian Inference in Nonlinear Regression
Ji-Yeon Yang, Kumoh National Institute
2:50 PM
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