Keyword Search
Legend:
CC = Vancouver Convention Centre F = Fairmont Waterfront Vancouver
* = applied session ! = JSM meeting theme
|
Keyword Search Criteria: Bayesian inference returned 50 record(s)
|
|
Sunday, 07/29/2018
|
An Expectation Conditional Maximization Approach for Gaussian Graphical Models
Zehang Li, University of Washington; Tyler McCormick, University of Washington
|
Inference of Introgressive Hybridization in Anopheles Mosquito Genomes
Jingxue(Grace) Feng, Simon Fraser University; Liangliang Wang, Simon Fraser University; Cedric Chauve, Simon Fraser University
|
Spatially Informed Variable Selection Priors and Application to Neuroimaging Data
Marina Vannucci, Rice University
2:05 PM
|
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
|
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
|
|
Monday, 07/30/2018
|
Bayesian Inference in High-Dimensional Linear Regression Using an Empirical Correlation-Adaptive Prior
Chang Liu, North Carolina State University; Yue Yang, North Carolina State University; Howard D Bondell, University of Melbourne; Ryan Martin, North Carolina State University
|
Melded Bayesian Inference for Stochastic Theoretical Models with Applications in Agent Based Modeling
Mark Dawkins
|
Constrained Bayesian Inference Through Posterior Projections
Sayan Patra, Duke University; David B Dunson, Duke University
|
Assessing the Uncertainty Due to Chemicals Below the Detection Limit in Chemical Mixture Estimation
Paul Hargarten, VCU; David C. Wheeler, Virginia Commonwealth University
9:05 AM
|
Multilevel Monte Carlo for Inference
Kody Law, Oak Ridge National Laboratory
9:35 AM
|
Constrained Bayesian Inference Through Posterior Projections
Sayan Patra, Duke University; David B Dunson, Duke University
9:50 AM
|
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
|
Melded Bayesian Inference for Stochastic Theoretical Models with Applications in Agent Based Modeling
Mark Dawkins
11:20 AM
|
Beyond Random-Walk MCMC for Bayesian Phylogenetics
Frederick Matsen, Fred Hutchinson Cancer Research Center
11:35 AM
|
Practical Bayesian Inference for Record Linkage
Brendan McVeigh, Carnegie Mellon University; Jared S Murray, University of Texas at Austin
2:45 PM
|
|
Tuesday, 07/31/2018
|
A Bayesian Model for Repeated Measures Count Data with Multiple Inflated Values
Benjamin Rogers, UCLA
|
Bayesian Inference for Sample Surveys in the Presence of High-Dimensional Auxiliary Information
Yutao Liu, Columbia University; Andrew Gelman, Columbia University; Qixuan Chen, Columbia University
|
Differentiable Approximations of Hidden Markov Models for Variational Bayesian Inference
Lun Yin, Duke Institute for Brain Sciences; John Pearson, Duke University
|
Automated Bayesian Inference for Large-Scale Datastreams
Trevor Campbell, Massachusetts Institute of Technology; Tamara Broderick, Massachusetts Institute of Technology
8:35 AM
|
Bayesian Inference of Latent Gaussian Graphical Models for Mixed Data
Zehang Li, University of Washington; Tyler McCormick, University of Washington; Samuel Clark, The Ohio State University
8:35 AM
|
Genetic Association Analysis of Copy Number Variation via a Bayesian Procedure in Whole Genome Sequencing
Yu-Chung Wei, Feng Chia University, TAIWAN
8:50 AM
|
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
|
Bayesian Inference in Nonparanormal Graphical Models
Jami Mulgrave; Subhashis Ghosal, North Carolina State University
9:35 AM
|
Differentiable Approximations of Hidden Markov Models for Variational Bayesian Inference
Lun Yin, Duke Institute for Brain Sciences; John Pearson, Duke University
10:45 AM
|
Highlights from Bayesian Analysis
Christopher C Drovandi, Queensland University of Technology; Kerrie Mengersen, Queensland University of Technology; Michael Evans, University of Toronto; David J Nott, National University of Singapore
11:00 AM
|
Bayesian Inference for Sample Surveys in the Presence of High-Dimensional Auxiliary Information
Yutao Liu, Columbia University; Andrew Gelman, Columbia University; Qixuan Chen, Columbia University
11:15 AM
|
Bayesian Inference for the Relationship Between Two Categorical Variables with Covariates for Clustered Data
Dilli Bhatta, University of South Carolina Upstate
11:55 AM
|
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
|
Modeling Changes in the Age Distribution of Opioid Mortality
Patrick E Brown, University of Toronto; Ye Lennon Li, Public Health Ontario
2:20 PM
|
Bayesian Inference of Spreading Processes on Networks
Antonietta Mira, Università della Svizzera italiana; Ritabrata Dutta, Università della Svizzera italiana; Jukka-Pekka Onnela, Harvard T. H. Chan School of Public Health
2:25 PM
|
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
|
Bayesian Spatial Process Models for High-Dimensional Finite Population Sampling
Sudipto Banerjee, UCLA School of Public Health; Alec Goldstein-Chan, University of California Los Angeles
2:55 PM
|
Complexity Results for MCMC Derived from Quantitative Bounds
Jun Yang, University of Toronto; Jeffrey S Rosenthal, University of Toronto
3:05 PM
|
Spatial Semiparametric Spectral Density Estimation for Multivariate Extremes
Mauricio Nascimento, Pennsylvania State University; Benjamin Shaby, Penn State University
3:05 PM
|
|
Wednesday, 08/01/2018
|
Identifying and Clustering Stable and Dynamic CpG Sites via Bayesian Analysis
Luhang Han, University of Memphis; Hongmei Zhang, University of Memphis; Ebenezer Olusegun George, University of Memphis; Wilfried Karmaus, University of Memphis; Hasan Arshad , University of Southampton; John Holloway, University of Southampton
|
A Novel Bayesian PK/PD Model for Synergy: Challenges and Opportunities for Sequential Knowledge Integration
Fabiola La Gamba; Tom Jacobs, Janssen R&D; Helena Geys, Janssen R&D; Christel Faes, Hasselt University
|
Multiplicity-Controlled Benefiting Subgroup Identification via Credible Subgroups
Patrick Schnell, Ohio State University; Qi Tang, Sanofi; Peter Müller, University of Texas Austin; Brad Carlin, University of Minnesota
8:35 AM
|
Approximate Bayesian Inference for Big Spatial Data Using Non-Stationary Spectral Simulation
Hou-Cheng Yang
8:35 AM
|
A Novel Bayesian PK/PD Model for Synergy: Challenges and Opportunities for Sequential Knowledge Integration
Fabiola La Gamba; Tom Jacobs, Janssen R&D; Helena Geys, Janssen R&D; Christel Faes, Hasselt University
8:55 AM
|
Identifying and Clustering Stable and Dynamic CpG Sites via Bayesian Analysis
Luhang Han, University of Memphis; Hongmei Zhang, University of Memphis; Ebenezer Olusegun George, University of Memphis; Wilfried Karmaus, University of Memphis; Hasan Arshad , University of Southampton; John Holloway, University of Southampton
9:05 AM
|
A Bayesian Hierarchical Change Point Model with Parameter Constraints
Hong Li, Medical University of South Carolina; Brian Neelon, Medical University of South Carolina
9:35 AM
|
Bayesian Inference for Geometrically Anisotropic Spatial Random Fields on Regular Lattice
Fan Dai; Somak Dutta, Iowa State University
9:35 AM
|
Polynomial Approximate Sufficient Statistics for Scalable Bayesian Inference
Tamara Broderick, Massachusetts Institute of Technology
10:35 AM
|
Bayesian and Influence Function Based Empirical Likelihoods for Inference of Sensitivity in Diagnostic Tests
Yan Hai, Georgia State University; Gengsheng Qin, Georgia State University; Xiaoyi Min, Georgia State University
10:35 AM
|
Markov-Modulated Continuous-Time Markov Chains to Identify Site- and Branch-Specific Evolutionary Variation
Guy Baele, KU Leuven
11:15 AM
|
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
|
Bayesian Nonparametrics for Evolutionary Model Selection
Mandev Gill
11:55 AM
|
Integrating Auxiliary Data in Optimal Spatial Design for Species Distribution Mapping
Jonathan Stallings, North Carolina State University; Brian Reich, North Carolina State University; Krishna Pacifici, North Carolina State University
2:30 PM
|
An Exact Auxiliary- Variable Gibbs Sampler for Stochastic Differential Equations
Vinayak P Rao, Purdue University
3:05 PM
|
|
|
