Name: 2018 Joint Statistical Meetings
Start: 2018-07-28T07:00:00+00:00
End: 2018-08-02
Location: Vancouver Convention Centre

Keyword Search

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CC = Vancouver Convention Centre F = Fairmont Waterfront Vancouver
* = applied session ! = JSM meeting theme

Keyword Search Criteria: Bayesian returned 435 record(s)

Sunday, 07/29/2018

A Novel Bayesian Framework to Probe Closed Box Nature of Galaxy Clusters
Arya Farahi, University of Michigan - Ann Arbor

Approximate Bayesian Computation for the Stellar Initial Mass Function
Jessi Cisewski-Kehe, Yale University; Chad Schafer, Carnegie Mellon University; Grant Weller, Savvysherpa; David Hogg, New York University

Bayesian Nonparametric Hierarchical Models for Lightcurve Classification and Observation Decisions
David Edward Jones, Duke University and SAMSI; Sujit Ghosh, North Carolina State Univ.; Ana-Maria Staicu, NC State University; Ashish Mahabal, Caltech

Approximate Bayesian Computation with Complex High-Dimensional Data and Limited Simulations
Taylor Gene Pospisil, Carnegie Mellon University

A Bayesian Model for Multivariate Micro-Level Insurance Claims
Marie-Pier Côté, Universite Laval; Christian Genest, McGill University; David A Stephens, McGill University

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

A Model-Based Clustering to Identify Disease-Associated SNPs
Li Xing, University of Victoria; Xuekui Zhang, University of Victoria; Yan Xu, University of Victoria; Weiliang Qiu, Brigham and Women's Hosptial/Harvard Medical School

The Analysis of Face Perception MEG and EEG Data Using a Potts-Mixture Spatiotemporal Joint Model
Yin Song, University of Victoria; Farouk Nathoo; Arif Babul, University of Victoria

A Hierarchical Bayesian Deconvolution Model for Inferring Immune Cell Components in Tumor
An-Shun Tai, National Tsing Hua University

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

An Integrative Bayesian Approach to Dissect Complex Trait Etiology
Corbin Quick, University of Michigan

A Bayesian Nonparametric Approach for Causal Inference with Semi-Competing Risks
Michael Daniels, University of Florida; Peter Müller, University of Texas Austin; Yanxun Xu, Johns Hopkins University; Daniel Scharfstein, Johns Hopkins University
2:05 PM

Spatially Informed Variable Selection Priors and Application to Neuroimaging Data
Marina Vannucci, Rice University
2:05 PM

Model Calibration of a Protein-Signaling Network
Derek Bingham, Simon Fraser University; David Alexander Campbell, Simon Fraser University; David C. Clarke, Simon Fraser University; Mike Grosskopf, Simon Fraser University; Luyao Lin, Simon Fraser University; Biljana Jonoska Stojkova , University of British Columbia
2:05 PM

Bayesian Joinpoint Regression Model to Study the Effect of Smoking on Lung Cancer Incidence
Ram C. Kafle, Sam Houston State University; Melinda M. Holt, Sam Houston State University
2:05 PM

A Hierarchical Bayesian Deconvolution Model for Inferring Immune Cell Components in Tumor
An-Shun Tai, National Tsing Hua University
2:15 PM

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

Dosing Designs for Bayesian Emax Models
Neal Thomas, Pfizer
2:25 PM

Designing Trials Using Bayesian Methods with Historical Controls
Michael Sonksen, Eli Lilly and Company
2:25 PM

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
2:40 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

Bayesian Population Finding Using Counterfactual Modeling of Responses
Peter Müller, University of Texas Austin; Satoshi Morita, Kyoto University
2:45 PM

Interacting Cluster Point Process Model for Epidermal Nerve Fibers
Guilherme Ludwig, University of Campinas; Nancy Lopes Garcia, University of Campinas; Peter Guttorp, University of Washington / Norwegian Computing Center
2:45 PM

Leveraging Existing Information in Medical Device Clinical Trials
Rajesh Nair, CDRH/FDA; Xuefeng Li, CDRH/FDA; Laura Thompson, CDRH/FDA
3:05 PM

An Integrative Bayesian Approach to Dissect Complex Trait Etiology
Corbin Quick, University of Michigan
3:15 PM

A Model-Based Clustering to Identify Disease-Associated SNPs
Yan Xu, University of Victoria; Xuekui Zhang, University of Victoria; Weiliang Qiu, Brigham and Women's Hosptial/Harvard Medical School
3:20 PM

Bayesian Longitudinal Causal Inference in the Analysis of the Public Health Impact of Air Pollution
Chanmin Kim, Boston University School of Public Health; Corwin Zigler, Harvard T.H. Chan School of Public Health; Jason Roy, University of Pennsylvania; Michael Daniels, University of Florida
3:25 PM

A Case Study on Model Based Meta-Analysis (MBMA) for Drug Development Decisions
Guohui Liu, Takeda Pharmaceuticals Inc ; Zhaoyang Teng, Takeda pharmaceuticals international, Co; Zhaowei Hua, Takeda Pharmaceuticals International Co.; Neeraj Gupta, Takeda pharmaceuticals international, Co; Richard Labotka, Takeda pharmaceuticals international, Co
3:35 PM

Bayesian Overlapping Group Lasso: An Application in Jointly Modeling Multiple Genetic Pathways with Several Common Genes Between
Sounak Chakraborty, University of Missouri, Columbia
4:05 PM

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

Modeling of Sediment Mixing Using Dirichlet Process Mixtures
John Tipton, University Of Arkansas; Glenn Sharman, University Of Arkansas; Sam Johnstone, United States Geological Survey
4:20 PM

Spatial Bayesian Fusing Models for Sparse Networks and Health Risk
Andrew B Lawson, Medical University of South Carolina ; Raymond Boaz, Medical University of South Carolina
4:25 PM

Bayesian Image Analysis in Fourier Space for MRI Data
John Kornak, University of California, San Francisco; Karl Young, University of California, San Francisco (retired)
4:25 PM

Statistical Inference for Multivariate Stochastic Differential Equations via Data Imputation
Ge Liu, Ohio State University; Peter Craigmile, The Ohio State University; Radu Herbei, The Ohio State University
4:25 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

Inferring Spatial Point Intensity of Geomagnetic Anomalies from Transect Sampling
Kenneth Flagg, Montana State University; Andrew Hoegh, Montana State University; Megan Higgs, Montana State University; John Borkowski, Montana State University
4:35 PM

Bayesian Hierarchical Models and Influenza Modeling
Nehemias Ulloa, Iowa State University; Jarad Niemi, Iowa State University
4:35 PM

Optimal Designs for Comparison of Response Surfaces
Mong-Na Lo Huang, National Sun Yat-Sen University; Tzu-Lung Yuan, National Sun Yat-sen University; Chi-Hsiang Chu, Kaohsiung Chang Gung Memorial Hospital
4:35 PM

Predictive and Interpretable Bayesian Machine Learning Models for Understanding Microbiome Dynamics
Georg Kurt Gerber, Harvard Medical School / Brigham and Women's Hospital
4:45 PM

A Time-Varying Joint Frailty-Copula Approach for Modeling Recurrent Events and a Terminal Event
Zheng Li, Penn State Unviersity; Ming Wang, Pennsylvania State University; Vernon M Chinchilli, Penn State College of Medicine
4:50 PM

A Bayesian Approach for Deduplication, Record Linkage, and Inference with Linked Data
brunero liseo, Sapienza Università di Roma; Andrea Tancredi, Sapienza Università di Roma; Rebecca C. Steorts, Duke University
4:55 PM

Practical Bayesian Modeling and Subgroup Inference in Alzheimer's Drug Development
Brad Carlin, University of Minnesota; Patrick Schnell, Ohio State University; Mark Fiecas, University of Minnesota; Peter Müller, University of Texas Austin; Qi Tang, Sanofi; Walter Offen, AbbVie
5:05 PM

A Bayesian General Linear Modeling Approach to Cortical Surface fMRI Data Analysis
Yu Yue, Baruch College, CUNY; Amanda Mejia, Indiana University; David Bolin, Gothenburg University; Finn Lindgren, The University of Edinburgh; Martin A Lindquist, Johns Hopkins University
5:05 PM

Bayesian Spatial Modeling via Kernel Convolutions on Complex-Valued fMRI Signals
Cheng-Han Yu, UC Santa Cruz; Raquel Prado, University of California Santa Cruz, Baskin School of Engineering
5:05 PM

A Bayesian Nonparametric Model for Predicting Disease Status Using Longitudinal Profiles
Jeremy Gaskins, University of Louisville
5:05 PM

Bayesian Multivariate Longitudinal Models for Bariatric Surgery Outcomes
Heidi Fischer, Kaiser Permanente Southern California; Karen Coleman, Kaiser Permanente Southern California; Robert Weiss, UCLA; Stephen Derose, Kaiser Permanente Southern California; Allon Friedman, Indiana University School of Medicine; David H. Smith, Kaiser Permanente Center for Health Research; Talha Imam, Kaiser Permanente Southern California
5:20 PM

Estimating the Changing Nature of Scotland's Health Inequalities Using a Multivariate Spatio-Temporal Model
Eilidh Jack, University of Glasgow; Duncan Lee, University of Glasgow; Nema Dean, University of Glasgow
5:25 PM

Monday, 07/30/2018

Bayesian Phylogenetic Inference via Particle Gibbs Sampler with Ancestor Sampling
Shijia Wang, Simon Fraser University; Liangliang Wang, Simon Fraser University

A Note on Managing Uncertainty About Source Release Height After an Accident
Ali Gargowm, United Arab Emirates Univ / College of Business & Economics

Optimal Sampling Regime for Estimating Population Dynamics
Rebecca Bergee; Edward L Boone, Virginia Commonwealth University; Ryad Ghanam, Virginia Commonwealth University

Graph-Based Mixture Model: a Bayesian Approach to Combine Clustering and Hypothesis Testing
Tien Vo, University of Wisconsin - Madison; Vamsi Ithapu, University of Wisconsin - Madison; Vikas Singh, University of Wisconsin - Madison; Michael Newton, University of Wisconsin at Madison

Statistical Techniques to Improve Random Projections and Other Similar Algorithms
Keegan Kang, Singapore University Of Technology And Design; Weipin Wong, Singapore University Of Technology and Design; Haikal Yeo, Independent

Counting Maternal Deaths? You Better Bayes It! a Systematic Assessment of Underreporting and Misclassification in Registration of Maternal Deaths in High and Middle Income Countrie
Emily Peterson, University of Massachusetts Amherst; Leontine Alkema, University of Massachusetts Amherst

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

Bayesian Bivariate Extreme Value Analysis with Application in Environmental Statistics
Yuan Tian, North Carolina State University; Brian Reich, North Carolina State University

Comparing Behavioral Dynamics Between Groups of Mice Using Hierarchical Hidden Semi Markov Models
Emmeke Aarts, Utrecht University

Bayesian Variable Selection of Stochastic Volatility Models in Financial Time Series
Feng Chi Liu

Bayesian and Unsupervised Machine Learning Machines for Jazz Music Analysis
Qiuyi Wu, ASA; Ernest Fokoue, ASA

Bayesian Functional Quantile Regression
Yusha Liu, Rice University; Jeffrey S Morris, The University of Texas M.D. Anderson Cancer Center; Meng Li, Rice University

A Bayesian Hierarchical Multivariate Poisson-Lognormal Model to Estimate Age- and Cause-Specific Child Mortality in Data-Scarce Countries
Austin Edward Schumacher, University of Washington; Jon Wakefield, Univ of Washington

Continuous Tempering Through Path Sampling
Yuling Yao, Columbia Univ; Andrew Gelman, Columbia University

Bayesian Sparse Regression in the Presence of Nuisance Parameters
Seonghyun Jeong, North Carolina State University; Subhashis Ghoshal, North Carolina State Univeristy

Bayesian Forecasting and Dynamic Modeling of Physical Processes in Industrial Hygiene
Nada Abdalla, UCLA; Sudipto Banerjee, UCLA School of Public Health; Gurumurthy Ramachandran, John Hopkins University; Susan Arnold, University of Minnesota

A Bayesian Nonparametric Approach to Estimate Causal Effects of Mediation in the Presence of Nonignorable Missingness
Dandan Xu, US Food and Drug Administration; Michael Daniels, University of Florida

A Theoretical Framework for Bayesian Nonparametric Regression: Orthonormal Random Series and Rates of Contraction
Fangzheng Xie, Johns Hopkins University; Wei Jin, Johns Hopkins University; Yanxun Xu, Johns Hopkins University

A Bayesian Model Selection Approach to Multiple Comparisons
Javier E. Flores, University of Iowa; Andrew Neath, SIU Edwardsville; Joseph Cavanaugh, University of Iowa

Developing and Evaluating Methods for Estimating Race/Ethnicity in an Incomplete Dataset Using Address, Surname and Family Race
Gabriella Christine Silva, Brown University; Roee Gutman, Brown University

Identifying Epigenetic Regions Exhibiting Critical Windows of Susceptibility to Air Pollution
Michele Zemplenyi, Harvard University; Mark J Meyer, Georgetown University; Brent A. Coull, Harvard TH Chan School of Public Health

Melded Bayesian Inference for Stochastic Theoretical Models with Applications in Agent Based Modeling
Mark Dawkins

Bayesian Cumulative Probability Models for Continuous Response Variables
Nathan Thomas James, Vanderbilt University; Frank Harrell, Vanderbilt University, Dept of Biostatistics; Bryan E Shepherd, Vanderbilt University School of Medicine

Bayesian Modular and Multiscale Regression
Michele Peruzzi; David B Dunson, Duke University

A Bayesian Semiparametric Joint Model for Longitudinal and Survival Data
Pengpeng Wang, Florida State University; Jonathan R. Bradley, Florida State University; Elizabeth H. Slate, Florida State University

Convergence Rates of a Partition Based Bayesian Multivariate Density Estimation Method
Linxi Liu, Columbia University; Dangna Li, Stanford University; Wing Hung Wong, Stanford University

Geometric Sensitivity Measures for Nonparametric Bayesian Models in Density Estimation
Abhijoy Saha, The Ohio State University; Sebastian Kurtek, The Ohio State University; Karthik Bharath, The University of Nottingham

Using Modified Competitive Swarm Optimizer to Find D-Optimal Designs for Complicated Logistic Models
Zizhao Zhang, UCLA; Weng Kee Wong, UCLA

A Bayesian Approach to Trend Filtering for Spatially Confounded Data
Adam Walder

Uncertainty in the Design Stage of Two-Stage Bayesian Propensity Score Analysis
Shirley Liao

Bayesian Model Selection for Markov Chains Using Sparse Probability Vectors
Matthew Heiner, UC Santa Cruz; Athanasios Kottas, UC Santa Cruz; Stephan Munch, NOAA

Bayesian Estimation of Toluene and Trichloroethylene Biodegradation Kinetic Parameters
Feng Yu, RTI International; Breda Munoz, RTI International

A Combinatoric Search for Clustered Levels in Categorical Predictors via Bayesian Model Selection
Thomas Metzger, Virginia Tech; Christopher Franck, Virginia Tech

The Implementation of Moderated T-Tests in Linear Mixed-Effects Models
Lianbo Yu, Ohio State University; Jianying Zhang, Ohio State University; Guy Brock, Ohio State University College of Medicine; Soledad Fernandez, The Ohio State University

Combining Predictive Mean Matching with the Penalized Spline of Propensity Prediction Method When Performing Multiple Imputation
Jay Xu; Roee Gutman, Brown University

Constrained Bayesian Inference Through Posterior Projections
Sayan Patra, Duke University; David B Dunson, Duke University

Simultaneous Bayesian Model Search and Change-Points Detection for Non-Stationary Oscillatory Processes
Beniamino Hadj-Amar, The University of Warwick; Barbel Finkenstadt, The University of Warwick

Individualized Treatment for Time-To-Event Outcomes with BART
Brent Logan, Medical College of Wisconsin
8:35 AM

Counting Casualties in the Syrian Civil War with Bayesian Record Linkage
Andrea Kaplan, Duke University; Rebecca C. Steorts, Duke University
8:35 AM

Statistical Inference on Remaining Useful Life in a Two-Phase Degradation Model Under Gamma Process
Hon Keung Tony Ng, Southern Methodist University; Man Ho Ling, The Education University of Hong Kong; Kwok Leung Tsui, City University of Hong Kong
8:35 AM

Basket Trial Design Using Bayesian Model Averaging
Matthew Psioda, University of North Carolina; Jiawei Xu, University of North Carolina; Qi Jiang, Amgen; Chunlei Ke, Biogen; Zhao Yang, Amgen Inc; Joseph G Ibrahim, University of North Carolina Chapel Hill
8:35 AM

Non-Parametric Bayesian Methods for Causal Inference with Multiple Treatments
Michael Lopez , Skidmore College ; Liangyuan Hu, Icahn School of Medicine at Mount Sinai; Chenyang Gu, Harvard Medical School
8:35 AM

Bayesian Estimation of Analyte Concentrations using Sensor Responses and Design Optimization of a Sensor System
David Han, University of Texas At San Antonio
8:50 AM

A Bayesian Logistic Model with Covariate to Identify Optimal Dose for Heterogeneous Population in Phase I Oncology Trial
Xin Wei, Celgene Corporation; Michael Branson, celgene corporation
8:50 AM

Pathway and Network-Based Integrative Bayesian Modeling of Multiplatform Genomics Data
Veera Baladandayuthapani, UT MD Anderson Cancer Center; Jeffrey S Morris, The University of Texas M.D. Anderson Cancer Center; Elizabeth McGuffey, United States Naval Academy; Raymond J. Carroll, Texas A & M University; Min Jin Ha, UT MD Anderson Cancer Center
9:00 AM

Convergence Rates of a Partition Based Bayesian Multivariate Density Estimation Method
Linxi Liu, Columbia University; Dangna Li, Stanford University; Wing Hung Wong, Stanford University
9:00 AM

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

Teaching Bayesian Statistics in Undergraduate Classes
Ananda Jayawardhana, Pittsburg State University
9:05 AM

Propensity-Score-Based Controls: Its Use in Establishing Benefit/Risk of Medicines for Unmet Medical Need
Junjing Lin, AbbVie; Margaret Gamalo-Siebers, Eli Lilly & Co; Ram Tiwari, Center for Devices and Radiologica Health, FDA
9:15 AM

Bayesian Regression Tree Ensembles That Adapt to Smoothness and Sparsity
Antonio Ricardo Linero, Florida State University; Yun Yang, Florida State University
9:25 AM

Computer Model Calibration to Enable Disaggregation of Chemical Spectra
David Stenning, Imperial College London
9:35 AM

Multilevel Monte Carlo for Inference
Kody Law, Oak Ridge National Laboratory
9:35 AM

Two-Way Sparsity for Time-Varying Networks, with Applications in Genomics
Thomas Bartlett, University College London; Ricardo Silva, University College London; Ioannis Kosmidis, University of Warwick
9:50 AM

A Novel Framework for Bayesian Response-Adaptive Randomization
Jian Zhu, Takeda; Ina Jazic, Harvard University; Yi Liu, Takeda Pharmaceuticals
9:50 AM

Bayesian Nonparametric Analysis of Longitudinal Data with Ordinal Outcomes and Non-Monotone Non-Ignorable Missingness
Yu Cao, Virginia Commonwealth University; Nitai Mukhopadhyay, Virginia Commonwealth University
9:50 AM

Constrained Bayesian Inference Through Posterior Projections
Sayan Patra, Duke University; David B Dunson, Duke University
9:50 AM

Empirical Bayes Estimation of Gene Expression Fold Change
Abbas Rahal, University of Ottawa; Marta Padila, University of Ottawa; David R. Bickel, University of Ottawa
10:05 AM

Fully Bayesian Spectral Methods for Imaging Data
Brian Reich, North Carolina State University; Joseph Guinness, NC State University; Simon Vandekar, University of Pennsylvania; Russell T Shinohara, University of Pennsylvania; Ana-Maria Staicu, NC State University
10:35 AM

A Bayesian Phase I/II Trial Design for Immunotherapy
Suyu Liu, MD Anderson Cancer Center; Beibei Guo, Louisiana State University; Ying Yuan, University of Texas M.D. Anderson Cancer Center
10:35 AM

Model Selection, Contingency Tables and Human Mobility
Adrian Dobra, University of Washington
10:35 AM

A Weighted Dirichlet Process Mixture Modeling for Functional Clustering
Wenyu Gao, Virginia Tech; Inyoung Kim, Virginia Tech
10:35 AM

Bayesian Emulation and Calibration of an Individual-Based Model Simulation of Microbial Communities
Oluwole Oyebamiji, Newcastle University; Darren James Wilkinson, Newcastle University
10:35 AM

A Bayesian Approach to Analyzing Differential Gene Expression in Heterogeneous Tissue Samples
Megan Stefanski, University of Missouri - Kansas City; David Spade, University of Missouri - Kansas City
10:35 AM

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

A Bayesian Approach to Trend Filtering for Spatially Confounded Data
Adam Walder
10:40 AM

Using Modified Competitive Swarm Optimizer to Find D-Optimal Designs for Complicated Logistic Models
Zizhao Zhang, UCLA; Weng Kee Wong, UCLA
10:45 AM

Uncertainty in the Design Stage of Two-Stage Bayesian Propensity Score Analysis
Shirley Liao
10:50 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

A Propensity Score Stratified Bayesian Power Prior Approach for Incorporating Real-World Evidence in Single Group Medical Device Clinical Studies
Chenguang Wang, John Hopkins University; Ram Tiwari, Center for Devices and Radiologica Health, FDA; Lilly Yue, U.S. Food and Drug Administration; Yunling Xu, FDA/CDRH
10:55 AM

A Simulation-Based Prediction and Optimization Framework for Bio-pharmaceutical Supply Chain Dynamic Risk Management
Wei Xie, Rensselaer Polytechnic Institute; Pu Zhang, Rensselaer Polytechnic Institute; Ilya O. Ryzhov, University of Maryland
10:55 AM

Bayesian Design of Experiments with Multiple Priors for Kaggle Competition Design
Kevin Randal Quinlan, The Pennsylvania State University; Christine M Anderson-Cook, Los Alamos National Laboratory
11:05 AM

Forecasting of Grape Powdery Mildew Disease Risk in Vineyards Using a Bayesian Learning Network Model
Nathaniel Newlands, Agriculture and Agri-Food Canada (Science and Technology Branch); Weixun Lu, Agriculture and Agri-Food Canada (Science and Technology Branch); Odile Carisse, Agriculture and Agri-Food Canada (Science and Technology Branch); David E. Atkinson, University of Victoria
11:05 AM

A Bayesian Model Selection Approach to Multiple Comparisons
Javier E. Flores, University of Iowa; Andrew Neath, SIU Edwardsville; Joseph Cavanaugh, University of Iowa
11:10 AM

Bayesian Approach for Benefit-Risk Assessment with Examples
Ram Tiwari, Center for Devices and Radiologica Health, FDA
11:15 AM

Estimating Unmet Need for Contraceptive Methods in the World's Poorest Countries
Leontine Alkema, University of Massachusetts Amherst; Niamh Cahill, University College Dublin; Chuchu Wei, University of Massachusetts Amherst
11:15 AM

Bayesian Estimation Under Informative Sampling with Unattenuated Dependence
Terrance Savitsky, Bureau of Labor Statistics; Matthew Williams, SAMHSA/CBHSQ
11:20 AM

Melded Bayesian Inference for Stochastic Theoretical Models with Applications in Agent Based Modeling
Mark Dawkins
11:20 AM

Moral Hazard Effects of Bank Resolution Policies: Inferences from a Bayesian Nonparametric Study
Padma Sharma, UC Irvine
11:20 AM

Robust Bayesian Variable Selection for Modeling Mean Medical Costs
Lei Liu, Washington University in St Louis; Grace Yoon, Texas A&M University; Wenxin Jiang, Northwestern University; Tina Shih, MD Anderson Cancer Center
11:25 AM

Bayesian Network Models for Integrating Genetics and Metabolomics Data
Denise Marie Scholtens, Northwestern University; Alan Kuang, Northwestern University
11:25 AM

Beyond Random-Walk MCMC for Bayesian Phylogenetics
Frederick Matsen, Fred Hutchinson Cancer Research Center
11:35 AM

Bayesian Modular and Multiscale Regression
Michele Peruzzi; David B Dunson, Duke University
11:40 AM

Bayesian Estimation of Toluene and Trichloroethylene Biodegradation Kinetic Parameters
Feng Yu, RTI International; Breda Munoz, RTI International
11:45 AM

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

Degree of Weak and Strong Links in Pickleball Doubles Games
Paramjit Gill, University of British Columbia Okanagan; Tim Swartz, Simon Fraser University
11:55 AM

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

A Combinatoric Search for Clustered Levels in Categorical Predictors via Bayesian Model Selection
Thomas Metzger, Virginia Tech; Christopher Franck, Virginia Tech
12:05 PM

Nonparametric Bayesian Priors for Hidden Markov Random Fields
Florence Forbes, INRIA; Hongliang Lu, INRIA; Julyan Arbel, INRIA
2:05 PM

Bayesian Space-Time Partitioning by Sampling and Pruning Spanning Trees
Rosangela Loschi, Universidade Federal de Minas Gerais; Leonardo Teixeira, Purdue University; Renato Assunção , Universidade Federal de Minas Gerais
2:05 PM

A Bayesian Hierarchical Framework for Pathway Analysis in Genome-Wide Association Studies
Swati Biswas, University of Texas at Dallas; Lei Zhang, University of Texas at Dallas; Pankaj Choudhary, University of Texas at Dallas
2:05 PM

Bayesian Disaggregation of Spatio-Temporal Survey-Based Estimates: An Application to the American Community Survey
Marco H. Benedetti, University of Michigan; Veronica J. Berrocal, University of Michigan
2:05 PM

A Meta-Analysis to Indirectly Compare Experimental Drugs Across Multiple Indications Using a Bayesian Hierarchical Model
Ji Lin, Eli Lilly; Jingyi Liu, Eli Lilly; Zachary Thomas, Eli Lilly; Yumin Zhao, Eli Lilly & Co.; Mythili Koneru, Eli Lilly
2:05 PM

Extension of Bayesian Logistic Regression Model (BLRM) for Dose Timing Selection in Oncology Phase I Combination Studies
Yiyun Zhang, Novartis; Nigel Yateman, Novartis; Fang Xiang, Novartis; Lan Yi, Novartis; Kapildeb Sen, Novartis; Beat Neuenschwander, Novartis
2:05 PM

Bayesian Network Regularized Regression for Modeling Urban Crime Occurrences
Elizabeth Mary Upton, Boston University; Luis Carvalho, Boston University
2:20 PM

Analysis of Decision Makers' Strategies
Mihoko Minami, Keio University
2:20 PM

A Default Prior for the Intercept Parameter in Logistic Regression
Philip Boonstra, University of Michigan; Ananda Sen, University of Michigan
2:25 PM

Planning a Missile Test Using Bayesian Sequential Design of Experiments
Keyla Pagan-Rivera
2:25 PM

The Promise and Peril of Pediatric Extrapolation
Robert Nelson, Johnson & Johnson
2:25 PM

A Bayesian Multilevel Dirichlet Regression Model for Adolescent Activity Pattern Data
Kori Khan, Ohio State; Catherine Calder, The Ohio State University; Anna Smith, Columbia University; Christopher Browning, The Ohio State University
2:35 PM

Phase I Designs That Allow for Uncertainty in the Attribution of Adverse Events
Alexia Iasonos, Memorial Sloan Kettering Cancer Center; John O'Quigley, Universit'e Pierre et Marie Curie,
2:35 PM

Application of Bayesian Analyzes to Doubly-Randomized Delayed-Start, Matched Control Designs to Demonstrate Disease Modification
Ibrahim Turkoz, Janssen Research and Development, LLC; Marcus Sobel, Temple Universisity; Larry Alphs, Janssen Scientific Affairs, LLC
2:35 PM

A Bayesian Analysis of Small N Sequential Multiple Assignment Randomized Trials (SnSMARTs)
Boxian Wei, University of Michigan, Ann Arbor; Kelley M Kidwell, University of Michigan; Thomas M Braun, University of Michigan; Roy N Tamura, University of South Florida
2:40 PM

Practical Bayesian Inference for Record Linkage
Brendan McVeigh, Carnegie Mellon University; Jared S Murray, University of Texas at Austin
2:45 PM

Bayesian Regression with Undirected Network Predictors with an Application to Brain Connectome Data
Sharmistha Guha, UC Santa Cruz; Abel Rodriguez, UC Santa Cruz
2:45 PM

Attraction Indian Buffet Distribution
David Dahl, Brigham Young University; Richard Warr, Brigham Young University
2:45 PM

A Bayesian Nonparametric Approach to Estimating Dynamic Connectivity States in Brain Signals
Chee-Ming Ting, King Abdullah University of Science and Technology; Hernando Ombao, King Abdullah University of Science and Technology
2:50 PM

A Hierarchical Bayesian Cognitive Diagnostic Factor Model for Learning Trajectories
Albert Man, UIUC; Steven Culpepper, University of Illinois at Urbana-Champaign
2:50 PM

Design of Experiments for the Calibration of Computational Models
David Woods, University of Southampton; Yiolanda Englezou, University of Southampton; Timothy Waite, University of Manchester
2:55 PM

Bayesian Latent Hierarchical Model for Transcriptomic Meta-Analysis to Detect Biomarkers with Clustered Meta-Patterns of Differential Expression Signals
Zhiguang Huo, University of Florida; Chi Song, Ohio State University; George Tseng, University of Pittsburgh
3:05 PM

Bayesian Nonparametric Differential Analysis with Application to Colorectal Cancer DNA Methylation
Chiyu Gu, University of Missouri; Subharup Guha, University of Florida; Veera Baladandayuthapani, UT MD Anderson Cancer Center; Jeffrey S Morris, The University of Texas M.D. Anderson Cancer Center
3:05 PM

A Bayesian Nonparametric Method for Zero-Inflated Data with Applications to Medical Costs
Arman Oganisian, University of Pennsylvania; Nandita Mitra, University of Pennsylvania; Jason Roy, University of Pennsylvania
3:05 PM

Exploiting Conjugacy to Build Time Dependent Feature Allocation Models
Raffaele Argiento, Università di Torino; Ilaria Bianchini, Politecnico de Milano; Jim Edward Griffin, University of Kent
3:05 PM

Innovative Approaches to Deal with Delayed Treatment Effect, Cure Fraction and Treatment Switching in Time-To-Event Data in Cancer Immuno-Therapies
Carl Di Casoli, Halozyme Therapeutics; Alessandro Previtali, Celgene; Jonathan Jaeger, Celgene; Marie-Laure Casaebaig, Celgene
3:05 PM

Analysis of Resting-State Functional Brain Connectivity Using a Hierarchical Bayesian Mixture Model
Anders Lundquist, Umea University; Tetiana Gorbach, Umeå University; Xavier de Luna, Umeå University; Lars Nyberg, Umeå University; Alireza Salami, Karolinska Institute
3:05 PM

Multiethnic Joint Analysis of Marginal SNP Effects
David Conti, University of Southern California; Kan Wang, University of Southern California; Chris Haiman, University of Southern California; Paul Newcombe, MRC Biostatistics Unit
3:05 PM

Bayesian Isotonic Optimal Dose Design for Phase I/II Clinical Trials with Ordered Groups
Xiaoqiang Xue
3:05 PM

Bayesian Applications for Extrapolation from Adult to Pediatric Data
Amy Xia, Amgen
3:05 PM

Tree-Based Doubly-Robust Nonparametric Multiple Imputation
Darryl Creel
3:15 PM

Bayesian Model-Assisted Estimation for Functional Data in Survey Sampling
Luis Fernando Campos, Harvard University
3:25 PM

Covariances, Robustness, and Variational Bayes
Ryan Giordano; Tamara Broderick, Massachusetts Institute of Technology; Michael Jordan, UC Berkeley
3:25 PM

Tuesday, 07/31/2018

A Bayesian Quality Control Technique for the Joint Monitoring of the Parameters of the Shifted Exponential Distribution
Austin Brown, University of Northern Colorado; Bryce Whitehead, University of Northern Colorado; Hend Aljobaily, University of Northern Colorado

A Bayesian Adaptive Model-Based Approach for Dose Selection in a FGF21 2nd Gen Phase 1 Study
Yuping Dong

Bayesian Extended Redundancy Analysis with Spike-And-Slab Variable Selection for Binary Responses
Min Jung Kyung, Duksung Women's University; Ju-Hyun Park, Dongguk University; Ji Yeh Choi, National University of Singapore

A Bayesian Semiparametric Model for Correlated Longitudinal Data: An Application to Studies Involving Patients and Family Members
Li-Jung Liang, UCLA

Bayesian Function Data Analysis for Weather Forecast
Duchwan Ryu, Northern Illinois University; Hao Shen, Northern Illinois University

A Bayesian Adaptive Design in Cancer Phase I/II Trials with Drug Combinations Using Escalation with Overdose Control (EWOC) and Adaptive Randomization
Sungjin Kim, Cedars-Sinai Medical Center; José L. Jiménez, Politecnico di Torino; Mourad Tighiouart, Cedars-Sinai Medical Center

A Bayesian Model for Repeated Measures Count Data with Multiple Inflated Values
Benjamin Rogers, UCLA

Interpretable Statistical Machine Learning for Validation and Uncertainty Quantification of Complex Models
Ana Kupresanin, Lawrence Livermore National Laboratory

Bayesian Hierarchical Models for Voxel-Wise Classification of Prostate Cancer Using Nearest-Neighbor Gaussian Process
Jin Jin, Division of Biostatistics, University of Minnesota; Joseph Koopmeiners, Division of Biostatistics, University of Minnesota; Gregory Metzger, University of Minnesota; Ethan Leng, University of Minnesota

A Novel Approach of Using Prior Elicitation Information to Direct Design of a Phase 2 POC Study
Geng Chen, GlaxoSmithKline; Jonathan Haddad, Glaxosmithkline

Bayesian Methods in Real-World Evidence for Medicinal Product Development: Can Prior Distributions Provide a Platform for Creating Real-World Evidence?
John Loewy, Dataforethought

Analyzing the Evolution of Media Narratives Following Mass Shooting Events Using Modern Bayesian Statistical Methods
Thomas Belin, UCLA; Jay Xu

PFS2: Event or Censor?
Dongmei Lan, ICON Plc; JIll Stankowski, ICON Plc

Bayesian Estimation with Shrinking Both Means and Variances in Heteroscedastic Nested Error Regression Models
Hiromasa Tamae

Robust estimation in the presence of deviations from linearity in small domain models
Julie Gershunskaya, U.S. Bureau of Labor Statistics; Terrance Savitsky, Bureau of Labor Statistics

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

Phase I Designs That Allow for Uncertainty in the Attribution of Adverse Events
Alexia Iasonos, Memorial Sloan Kettering Cancer Center; John O'Quigley, Universit'e Pierre et Marie Curie,

Calibrated Bayesian Approach for Small Area Prevalence Estimation Using Survey Data with Replicate Weights
Trung Ha, University of Central Florida; Julia Soulakova, University of Central Florida

Bayesian Methods for Stratified Sample Allocation Using Imperfect Information
Jonathan Mendelson, University of Maryland; Joe Sedransk, University of Maryland

A Bayesian Gene-Based GWAS Analysis of Osteosarcoma Trio Data Using a Hierarchically Structured Prior
Yi Yang, University of Minnesota; SAONLI BASU, University of Minnesota; Lisa Mirabello, National Institutes of Health; Logan Spector, University of Minnesota; Lin Zhang, University of Minnesota

An Estimation Method for Enzyme Kinetic Model Parameters Based on Bayesian Approach
Boseung Choi, Korea University; Jae Kyoung Kim, Korea Advanced Institute of Science and Technology; Grzegorz A Rempala, The Ohio State University

Three-Component Dissection of Tumor Cellular Heterogeneity by a Bayesian Hierarchical Model
Tao Wang, UT Southwestern Medical Center

Rao-Blackwellizing Field Goal Percentage in the NBA
Daniel Daly-Grafstein, Simon Fraser University; Luke Bornn, Sacramento Kings and Simon Fraser University

Small Area Estimation of HIV Measures in Sub-Saharan Africa
Sahar Zangeneh, Fred Hutchinson Cancer Research Center; Jon Wakefield, Univ of Washington; Ann Duerr, Fred Hutch; Deborah Donnell, Fred Hutch

Differentiable Approximations of Hidden Markov Models for Variational Bayesian Inference
Lun Yin, Duke Institute for Brain Sciences; John Pearson, Duke University

Tree-Based Doubly-Robust Nonparametric Multiple Imputation
Darryl Creel

A flexible class of parametric distributions for Bayesian linear mixed models
Darren Wraith, Queensland University of Technology; Mohsen Maleki, Shiraz University; Reinaldo B. Arellano-Valle, Universidad Católica de Chile

Automated Bayesian Inference for Large-Scale Datastreams
Trevor Campbell, Massachusetts Institute of Technology; Tamara Broderick, Massachusetts Institute of Technology
8:35 AM

Model Calibration with Censored Data
Shan Ba, The Procter & Gamble Company; Fang Cao, Georgia Institute of Technology; William Brenneman, The Procter & Gamble Company; Roshan Joseph Vengazhiyil, Georgia Institute of Technology
8:35 AM

A Bayesian Hidden Markov Model for Detecting Differentially Methylated Regions
Tieming Ji, University of Missouri at Columbia
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

Survey Design Tools and Considerations for Sustaining Large-Scale Monitoring Programs Aimed to Characterize Species Distributions
Katharine Banner, Montana State University; Kathryn Irvine, US Geological Survey; Thomas Rodhouse, National Park Service; Andrea Litt, Montana State University
8:35 AM

Bayesian Estimation of Pollutant Emissions Using Multiscale Data
Cosmin Safta, Sandia National Laboratories; Ray Bambha, Sandia National Laboratories; Hope Michelsen, Sandia National Laboratories
8:35 AM

Bayesian Methods for Stratified Sample Allocation Using Imperfect Information
Jonathan Mendelson, University of Maryland; Joe Sedransk, University of Maryland
8:50 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

Three-Component Dissection of Tumor Cellular Heterogeneity by a Bayesian Hierarchical Model
Tao Wang, UT Southwestern Medical Center
8:50 AM

Incorporating Historical Information into the Analysis of Clinical Trials- a Case Study
Guochen Song, Biogen; Yiqing Tian, Q2 Sulotions; John Zhong, Biogen; Stacy Lindborg, Biogen Idec
8:50 AM

Predicting the Count of Tropical Storms with Bayesian Model Averaging
Joyee Ghosh, University of Iowa
8:50 AM

Bayesian Probabilistic Numerical Methods
Jonathan Cockayne
8:55 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

Neutron Capture Cross Sections for Unstable Nuclei with Surrogate Reaction Data
Kassie Fronczyk, Lawrence Livermore National Laboratory; Jutta Escher, Lawrence Livermore National Laboratory
9:05 AM

Improved Selection of High-Dimensional Neuroimaging Biomarkers Associated with Neurodegenerative Disease Progression
Tanya Garcia, Texas A&M University; Jeffrey S Morris, The University of Texas M.D. Anderson Cancer Center
9:15 AM

Bayesian Regularization for Graphical Models with Unequal Shrinkage
Lingrui Gan, University of Illinois At Urbana-Champaign; Naveen Naidu Narisetty, University of Illinois at Urbana Champaign; Feng Liang, University of Illinois at Urbana-Champaign
9:15 AM

A Bayesian Nonparametic Approach to Multistate Models
Richard Warr, Brigham Young University
9:15 AM

Big Data as a Measurement Error Problem
Raymond J. Carroll, Texas A & M University; Ya Su, Texas A&M University; Anirban Bhattacharya, Texas A&M University; Yan Zhang, Johns Hopkins University; Nilanjan Chatterjee, Johns Hopkins University
9:25 AM

Bayesian Regression for High-Dimensional Data Using a Prior on the Model Fit
Howard D Bondell, University of Melbourne
9:35 AM

Bayesian Inference in Nonparanormal Graphical Models
Jami Mulgrave; Subhashis Ghosal, North Carolina State University
9:35 AM

A Case Study of a Bayesian Adaptive Dose-Finding Phase 2 Trial Design Using Go/No-Go Criteria and Adaptive Randomization
Ye Ting Du; James Bolognese, Cytel Inc
9:35 AM

BAYESMETAB: TREATMENT of MISSING VALUES in METABOLOMIC STUDIES USING a BAYESIAN MODELING APPROACH
Jasmit Shah, Aga Khan University Hospital; Guy Brock, Ohio State University College of Medicine; Jeremy Gaskins, University of Louisville
9:35 AM

Multivariate Network Meta-Analysis to Mitigate Outcome Reporting Bias
Stacia Marie DeSantis, University of Texas Health Science Center at Houston
9:55 AM

Recursive Non-Parametric Predictive for a Discrete Regression Model
Lorenzo Cappello; Stephen Walker
9:55 AM

Leveraging Bayesian Methods, Modeling, and Simulation to Improve Decision-Making and Increase Probability of Success
Karen Price; Stephen Ruberg, Analytix Thinking, LLC
9:55 AM

A Bayesian Approach to the Analysis of Handwritten Evidence
Amy M Crawford, Iowa State University; Nicholas S Berry, Iowa State University; Alicia Carriquiry, Iowa State University
9:55 AM

2018 National Bald Eagle Dual-Frame Survey Using an Eroding Nest List Frame
Mark Otto, Fish and Wildlife Service
10:05 AM

Bayesian Spectral Modeling for Multivariate Spatial Distributions of Elemental Concentrations in Soil
Maria Antonia Terres, The Climate Corporation; Montserrat Fuentes, Virginia Commonwealth University; Dean Hesterberg, North Carolina State University; Matthew Polizzotto, North Carolina State University
10:35 AM

A Retrospective Control Study of the Millennium Villages Project
Shira Mitchell, Mathematica Policy Research; Andrew Gelman, Columbia University; Jeffrey Sachs, Columbia University; Avi Feller, UC Berkeley; Elizabeth A Stuart, Johns Hopkins Bloomberg School of Public Health; Alan Zaslavsky, Harvard University Medical School
10:35 AM

The Relationship Between Moderate to Vigorous Physical Activity and Metabolic Syndrome: a Bayesian Measurement Error Approach
Daniel Ries, Sandia National Laboratories; Alicia Carriquiry, Iowa State University
10:35 AM

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

Differentiable Approximations of Hidden Markov Models for Variational Bayesian Inference
Lun Yin, Duke Institute for Brain Sciences; John Pearson, Duke University
10:45 AM

Rao-Blackwellizing Field Goal Percentage in the NBA
Daniel Daly-Grafstein, Simon Fraser University; Luke Bornn, Sacramento Kings and Simon Fraser University
10:50 AM

Bayesian Spline Smoothing with Ambiguous Penalties
Xinlian Zhang, University of Georgia; Gauri Sankar Datta, University of Gerogia; Ping Ma, University of Georgia; Wenxuan Zhong, University of Georgia
10:55 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

Multidimensional Monotonicity Discovery with MBART
Edward George, Wharton, University of Pennsylvania; Robert McCulloch, Arizona State University; Hugh Chipman, Acadia University; Tom Shively, University of Texas at Austin
11:05 AM

Application of Bayesian Approach in Evaluating Rare Adverse Events During a Clinical Study
Ying Grace Li, Eli Lilly and Company
11:05 AM

Robust estimation in the presence of deviations from linearity in small domain models
Julie Gershunskaya, U.S. Bureau of Labor Statistics; Terrance Savitsky, Bureau of Labor Statistics
11:10 AM

Bayesian Personalized Multi-Criteria Benefit-Risk Assessment of Medical Products
Kan Li, University of Texas Health Science Center; Sammy Yuan, Merck; Sheng Luo, Duke University Medical Center
11:15 AM

Calibrated Bayesian Approach for Small Area Prevalence Estimation Using Survey Data with Replicate Weights
Trung Ha, University of Central Florida; Julia Soulakova, University of Central Florida
11:20 AM

Flexible Bayesian Quantile Regression in Ordinal Models
Mohammad Arshad Rahman, Indian Institute of Technology Kanpur; Shubham Karnawat, Credit Suisse
11:35 AM

Individualized Treatment Effects with Censored Data via Fully Nonparametric Bayesian Accelerated Failure Time Models
Nicholas Henderson, Johns Hopkins University
11:35 AM

Bayesian Analysis of Multinomial Counts from Small Areas and Sub-Areas
Balgobin Nandram, Worcester Polytechnic Institute
11:35 AM

Sequential Bayesian Analysis of Multivariate Count Data
Tevfik Aktekin , University of New Hampshire; Nick Polson, University of Chicago ; Refik Soyer , George Washington University
11:50 AM

Biomarker-Defined Subgroup Selection Adaptive Design for Phase III Confirmatory Trial
Rui Tang, Shire; Xiaoye Ma, University of Minnesota; Hui Yang, Amgen Inc.
11:50 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

Application of Bayesian Analysis on Blood Lead Level Data for Children
Shailendra Banerjee, Centers for Disease Control
12:05 PM

Machine Learning to Evaluate the Quality of Patient Reported Epidemiological Data
Robert L. Wood, Resonate & Wichita State University; Futoshi Yumoto, Resonate; Rochelle Tractenberg, Georgetown University
12:10 PM

Hierarchical Spatial Model for Creating Global Maps of Plant Trait Distribution
Abhi Datta, Johns Hopkins Bloomberg School of Public Health
2:05 PM

The Role of Body Mass Index at Diagnosis on Black-White Disparities in Colorectal Cancer Survival: a Density Regression Mediation Approach
Katrina Devick, Harvard TH Chan School of Public Health; Linda Valeri, McLean Hospital, Harvard Medical School; Jarvis Chen, Harvard TH Chan School of Public Health; Alejandro Jara, Pontificia Universidad Catolica de Chile; Marie-Abele Bind, Harvard University; Brent A. Coull, Harvard TH Chan School of Public Health
2:05 PM

Bayesian Analysis of Multivariate Crash Counts Using Copulas
Eun Sug Park, Texas A&M Transportation Institute; Man-Suk Oh, Ewha Womans University; Rosy Oh, Ewha Womans University; Jae Youn Ahn, Ewha Womans University
2:05 PM

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

A Bayesian Framework for Calculating Predictive Probability of Success in Biomarker Development
Cong Li; Ling Wang, Takeda; Ray Liu, Takeda Pharmaceuticals Inc
2:05 PM

Bayesian Dimension and Variable Selection for Model-Based Clustering
Love Tanzy, University of Rochester Medical Center; Kyra Singh, Google, Inc.
2:05 PM

Modeling Changes in the Age Distribution of Opioid Mortality
Patrick E Brown, University of Toronto; Ye Lennon Li, Public Health Ontario
2:20 PM

A Max-Infinitely Divisible Process for Sub-Asymptotic Modeling of Spatial Extremes
Gregory Bopp, Pennsylvania State University; Benjamin Shaby, Penn State University; Raphaël Huser, KAUST
2:20 PM

Bayesian Spatial Clustering with Particle Optimization
Sameer Deshpande, University of Pennsylvania, Wharton Statistics; Cecilia Balocchi, University of Pennsylvania, Wharton Statistics; Shane Jensen, The Wharton School, University of Pennsylvania; Edward George, Wharton, University of Pennsylvania
2:20 PM

Bayesian Nonparametric Models for Multivariate Processes in Phylodynamics Using Stochastic Differential Equations
James Faulkner, University of Washington; Vladimir N. Minin, University of California, Irvine
2:20 PM

Bayesian Record Linkage Under Limited Linking Information
Mingyang Shan, Brown University; Roee Gutman, Brown University; Kali Thomas, Brown University
2:25 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

Assessing Sensitivity to Unmeasured Confounding with Multiple Treatments and a Binary or Survival Outcome: A Bayesian Approach
Liangyuan Hu, Icahn School of Medicine at Mount Sinai; Chenyang Gu, Harvard Medical School; Michael Lopez , Skidmore College
2:30 PM

Implicit Copulas from Bayesian Regularized Regression Smoothers
Nadja Klein, University of Melbourne; Michael Stanley Smith, University of Melbourne
2:45 PM

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

Bayesian Generalized Smoothing Spline ANOVA with Dimension Reduction
Chin-I Cheng, Central Michigan University; Paul Speckman, University of Missouri-Columbia
2:50 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

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

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

Correcting for Exposure Misclassification in Meta-Analysis: a Bayesian Approach
Qinshu Lian, University of Minnesota; James S. Hodges, University of Minnesota; Richard Maclehose, University of Minnesota; Haitao Chu, University of Minnesota Twin Cities
3:05 PM

A Bayesian Hierarchical Model for Integrated Analysis of Consumer Appeal in Affective Testing
Jing Cao; Janette Pool, PepsiCo
3:05 PM

Bayesian Variable Selection for Restricted Latent Class Model with an Application in Cognitive Diagnostic Models
Steven Culpepper, University of Illinois at Urbana-Champaign; Feng Liang, University of Illinois at Urbana-Champaign; Yinyin Chen, University of Illinois at Urbana Champaign
3:05 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

Hierarchical Nonlinear Spatio-Temporal Agent-Based Models for Collective Animal Movement
Patrick McDermott, Univeristy of Missouri; Christopher K. Wikle, University of Missouri; Joshua Millspaugh, University of Montana
3:20 PM

Causal Inference Using a Bayesian Nonparametric Model with Informative Priors on Sensitivity Parameters
Jason Roy, University of Pennsylvania
3:20 PM

Bayesian Small Area Estimation of Multinomial Outcomes
David R Judkins, Abt Associates; Stas Kolenikov, Abt Associates; Raphael Nishimura, Abt Associates
3:20 PM

A Bayesian Hierarchical Model Estimating CACE in Meta-Analysis of Randomized Clinical Trials with Noncompliance
Jincheng Zhou, University of Minnesota; Haitao Chu, University of Minnesota Twin Cities; James S. Hodges, University of Minnesota; M. Fareed Khan Suri, University of Minnesota
3:25 PM

Wednesday, 08/01/2018

A Bayesian Framework for Assessing Concordance in Microbial Abundance with Respect to Grouping Variables
Richard Meier, University of Kansas Medical Center; Dominique Michaud, Tufts University School of Medicine; Devin C Koestler, University of Kansas Medical Center

Fast Bayesian Sparse Learning via Thresholding Priors
Andrew Whiteman, University of Michigan; Jian Kang, University of Michigan

A Bayesian Latent Variable Approach to Aggregation of Partial and Top Ranked Lists in Genomic Studies
Xue Li, Capital One; Xinlei (Sherry) Wang, Southern Methodist University; Pankaj Choudhary, University of Texas at Dallas; Swati Biswas, University of Texas at Dallas

Bayesian Nonparametric Estimation of the Spectral Density Function, with Applications to Spectral Analysis of EEG Data
Guillermo Cuauhtemoctzin Granados Garcia, King Abdullah University of Science and Technology; Hernando Ombao, King Abdullah University of Science and Technology; Mark Fiecas, University of Minnesota

A Bayesian Hierarchical Model for Gene Set Enrichment Analysis
Abhay Hukku; Xiaoquan William Wen, University of Michigan; Corbin Quick, University of Michigan

Bayesian Hierarchical Modeling of Clustered or Longitudinal RNA Sequencing Experiments
Brian Vestal, National Jewish Health; Camille Moore, National Jewish Health; Katerina Kechris, Colorado School of Public Health; Laura Saba, University of Colorado Anschutz Medical Campus; Tasha Fingerlin, National Jewish Health

Successful Implementation of Bayesian Adaptive Designs in Medical Device Clinical Studies
Zengri Wang

Practical Guidelines and User-Friendly Software for Bayesian Adaptive Designs
J. Jack Lee, Univ of Texas-M D Anderson Cancer Center

Bayesian Non-Negative Matrix Factorization for Analyzing Co-Location Networks
Wenna Xi, The Ohio State University; Catherine Calder, The Ohio State University; Christopher Browning, The Ohio State University

Modeling Vertical Transmission of Canine Visceral Leishmaniasis in Foxhounds in the United States
Marie Ozanne, University of Iowa

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

Bayesian Spatial Quantile Regression for Areal Count Data, with Application on Substitute Care Placements in Texas
Clay King, Colorado Mesa University; Joon Jin Song, Baylor University

Treatment Effect Estimation in Subgroups: a Comparative Study
Weihua Cao, Novartis Pharmaceutical Corp; Bjoern Holzhauer, Novartis Pharma AG; Steffen Ballerstedt, Novartis Pharma AG; Dong Xi, Novartis Pharmaceuticals; Ieuan Jones, Novartis Pharma AG

Calibrating a Stochastic Agent Based Model Using Quantile-Based Emulation
Arindam Fadikar, Virginia Tech; David Higdon, Virginia Tech

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

A Bayesian Meta-Analysis to Adjust Diagnostics Tests for Trend Analysis of Clostridium Difficile Infection in the Emerging Infections Program, U. S
Yi Mu, Centers for Disease Control and Prevention

Simulation-Based Bayesian Optimal Design for Ice Sheet Borehole Experiments
Xun Huan, Sandia National Labs/California; Andrew D. Davis, Massachusetts Institute of Technology

Estimation of Peak Expiratory Flow Under Stochastic Differential Equations
Shan Yang, Merck & Co Inc

Bayesian Adaptive Design of Phase 2 Dose-Finding Study
Tanya Granston, CTI BioPharma Corp.; Huafeng Zhou, CTI BioPharma Corp.; Lixia Wang, CTI BioPharma Corp.

A Multidimensional Array Model for Religiosity
Guangyu Tong, Duke University

Bayesian Analysis of High-Dimensional Point Pattern Data Sets Using Latent Multivariate Log-Gamma Random Vectors
Heli Gao, Florida State University

Bayesian Analysis of Unrelated Question Design for Correlated Sensitive Questions from Small Areas
Yuan Yu

Bayesian High-Dimensional Multi-Outcome Regression with Tree-Structured Shrinkage
Emma Grace Thomas, Harvard T.H. Chan School of Public Health; Francesca Dominici, Harvard T. H. Chan School of Public Health; Giovanni Parmigiani , Harvard T.H. Chan School of Public Health / Dana-Farber Cancer Institute; Lorenzo Trippa, Harvard

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

Predicting the Timing of the Final Event by Fitting B Splines to Poisson Intensity Rates
Marcus Sobel, Temple Universisity; Ibrahim Turkoz, Janssen Research and Development, LLC
8:35 AM

Approximate Bayesian Inference for Big Spatial Data Using Non-Stationary Spectral Simulation
Hou-Cheng Yang
8:35 AM

Convergence Complexity Analysis of Albert and Chib's Algorithm
Qian Qin, University of Florida; James P. Hobert, University of Florida
8:35 AM

Joint Modeling of Multiple RNA-Seq Samples for Accurate Isoform Quantification
Wei Li, University of California, Los Angeles; Jingyi Li, University of California, Los Angeles; Anqi Zhao, Harvard University; Shihua Zhang, Chinese Academy of Sciences
8:35 AM

Bayesian Latent Class Models for Identifying Biomarkers in Circadian Patterns
Sung Duk Kim, National Cancer Institute; Paul S Albert, National Cancer Institute
8:35 AM

Bayesian Nonparametric Mixed Effects Models in Microbiome Data Analysis
Boyu Ren, Harvard T.H. Chan School of Public Health
8:35 AM

Simulation-Based Bayesian Optimal Design for Ice Sheet Borehole Experiments
Xun Huan, Sandia National Labs/California; Andrew D. Davis, Massachusetts Institute of Technology
8:35 AM

Generalized Bayesian Factor Analysis for Integrative Clustering with Application to Multi-Modal Omics Data
Eun Jeong Min, University of Pennsylvania; Changgee Chang, University of Pennsylvania; Qi Long, University of Pennsylvania
8:50 AM

MCMC for High-Dimensional Bayesian Regression
Dootika Vats
8:55 AM

Bayesian Semiparametric Threshold Regression
Jonathan Race; Michael Pennell, Ohio State University
8:55 AM

A Multidimensional Array Model for Religiosity
Guangyu Tong, Duke University
8:55 AM

A Latent Bayesian Classification Model to Predict Kidney Obstruction Based on Renography and Expert Ratings
Changgee Chang, University of Pennsylvania; Jeong Hoon Jang, Emory University; Amita Manatunga, Emory University; Qi Long, University of Pennsylvania
9:05 AM

Modeling Vertical Transmission of Canine Visceral Leishmaniasis in Foxhounds in the United States
Marie Ozanne, University of Iowa
9:10 AM

Bayesian Spatial Quantile Regression for Areal Count Data, with Application on Substitute Care Placements in Texas
Clay King, Colorado Mesa University; Joon Jin Song, Baylor University
9:10 AM

Bayesian Blinded Sample Size Adjustment for Risk Differences
Andrew Hartley, PPD, Inc.
9:15 AM

Improving Probabilistic Record Linkage: Accurate Links, Probabilities, and Measures of Uncertainty
Bradley Spahn, Stanford University; Brendan McVeigh, Carnegie Mellon University; Jared S Murray, University of Texas at Austin
9:15 AM

A Model-Based Approach for Simulating Adaptive Clinical Studies with Surrogate Endpoints Used for Interim Decision-Making
Xiaotian Chen, AbbVie; Alan Hartford, AbbVie Inc; Mei Li, AbbVie; Jun Zhao, AbbVie
9:20 AM

Calibrating a Stochastic Agent Based Model Using Quantile-Based Emulation
Arindam Fadikar, Virginia Tech; David Higdon, Virginia Tech
9:20 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

Estimation of Peak Expiratory Flow Under Stochastic Differential Equations
Shan Yang, Merck & Co Inc
9:35 AM

Bayesian Inference for Geometrically Anisotropic Spatial Random Fields on Regular Lattice
Fan Dai; Somak Dutta, Iowa State University
9:35 AM

Exploring Efficiency of Statistics Methods to Compare Highly Automated Vehicle and Human Crash Rates
Carol A.C. Flannagan, University of Michigan, Transport Research Institute
9:35 AM

Bayesian Adaptive Design of Phase 2 Dose-Finding Study
Tanya Granston, CTI BioPharma Corp.; Huafeng Zhou, CTI BioPharma Corp.; Lixia Wang, CTI BioPharma Corp.
9:45 AM

Bayesian Regression Models for Big Spatially or Longitudinally Correlated Functional Data
Jeffrey S Morris, The University of Texas M.D. Anderson Cancer Center; Lin Zhang, University of Minnesota; Hongxiao Zhu, Virginia Tech University; Veera Baladandayuthapani, UT MD Anderson Cancer Center; Hojin Yang, The University of Texas M.D. Anderson Cancer Center; Wonyul Lee, Food and Drug Administration; Michelle Miranda, The University of Texas M.D. Anderson Cancer Center; Philip Rausch, Humboldt University
9:50 AM

A Nonparametric Bayesian Model for Single-Cell Variant Calling
Patrick Flaherty, University of Massachusetts, Amherst
9:50 AM

Bayesian Analysis of High-Dimensional Point Pattern Data Sets Using Latent Multivariate Log-Gamma Random Vectors
Heli Gao, Florida State University
9:50 AM

Bayesian Framework for Tier 1 Analytical Biosimilarity Assessment
Yanbing Zheng, AbbVie; Hesham Fahmy, AbbVie
9:50 AM

Bayesian Record Linkage with Sub-Models
Joan Heck
9:55 AM

Bayesian Analysis of Unrelated Question Design for Correlated Sensitive Questions from Small Areas
Yuan Yu
10:05 AM

Examining Non-Stationarity in Spatial Processes via an M-RA and Mixture Priors
Veronica J. Berrocal, University of Michigan
10:05 AM

Evaluating the Statistical Properties of Bayesian Basket Trial Designs
Kristen May Cunanan, Memorial Sloan Kettering Cancer Center; Alexia Iasonos, Memorial Sloan Kettering Cancer Center; Ronglai Shen, Memorial Sloan-Kettering Cancer Center; Colin B Begg, Memorial Sloan Kettering Cancer Center; Mithat Gonen, Memorial Sloan Kettering Cancer Center
10:35 AM

A Bayesian Spatial-Temporal Model with Latent Multivariate Log-Gamma Random Processes with Application to Earthquake Magnitudes
Guanyu Hu, University of Connecticut; Jonathan R Bradley, Florida State University
10:35 AM

Polynomial Approximate Sufficient Statistics for Scalable Bayesian Inference
Tamara Broderick, Massachusetts Institute of Technology
10:35 AM

Calibrating Big Data for Population Inference: Applying Quasi-Randomization Approach to Naturalistic Driving Data Using Bayesian Additive Regression Trees
Ali Rafei, University of Michigan; Michael Elliott, University of Michigan; Carol A.C. Flannagan, University of Michigan, Transport Research Institute
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

Novel Model-Assisted Designs for Phase I Drug Combination Trials
Ruitao Lin, MD Anderson Cancer Center
10:35 AM

Bayesian IRT and Factor Modeling with Missing Values
Thorsten Schnapp, University of Bamberg; Christian Aßmann, University of Bamberg
10:35 AM

Learning the Number of Components and Data Clusters in Bayesian Finite Mixture Models
Bettina Grün, Johannes Kepler Universität; Gertraud Malsiner-Walli, Wirtschaftsuniversität Wien; Sylvia Frühwirth-Schnatter, Wirtschaftsuniversität Wien
10:35 AM

Towards Multiple-Imputation-Proper Predictive Mean Matching
Philipp Gaffert, GfK SE; Florian Meinfelder, Universität Bamberg; Volker Bosch, GfK SE
10:55 AM

Bayesian Uncertainty Directed Trial Designs
Lorenzo Trippa, Harvard
11:05 AM

Bayesian Integrative Analysis of Radiogenomics
Youyi Zhang, The University of Texas MD Anderson Cancer Center UTHealth Graduate School of Biomedical S; Jeffrey S Morris, The University of Texas M.D. Anderson Cancer Center; Shivali Narang Aerry, Engineering for Professionals, Whiting School of Engineering, Johns Hopkins University; Arvind U.K. Rao, The University of Texas MD Anderson Cancer Center; Veera Baladandayuthapani, UT MD Anderson Cancer Center
11:15 AM

Markov-Modulated Continuous-Time Markov Chains to Identify Site- and Branch-Specific Evolutionary Variation
Guy Baele, KU Leuven
11:15 AM

A Bayesian Method for Variable Screening
Somak Dutta, Iowa State University; Vivekananda Roy, Iowa State University
11:20 AM

Bayesian Parametric Models Without Likelihoods: Assessing Accumulated Damage in Forest Products
Samuel WK Wong, University of Florida; Jim Zidek, University of British Columbia; Chun-Hao Yang, University of Florida
11:25 AM

Hierarchical Models with Conditionally Conjugate Full-Conditional Distributions for Dependent Data from the Natural Exponential Family
Jonathan R Bradley, Florida State University; Scott H. Holan, University of Missouri/U.S. Census Bureau; Christopher K. Wikle, University of Missouri
11:35 AM

Adaptive Dose Finding in Oncology Phase I-II Studies with Consideration of Tolerability and Efficacy
Rachael Liu, Takeda Pharmaceuticals ; Ling Wang, Takeda; David Sinclair, Google; Jianchang Lin, Takeda Pharmaceuticals
11:35 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

Nonparametric Mixture Modeling on Constrained Spaces
Putu Ayu Sudyanti, Purdue; Vinayak P Rao, Purdue University
11:35 AM

Probabilistic Programming with Non-Parametric Bayesian Model Discovery in BayesDB
Vikash Mansinghka; Feras Saad, MIT
11:35 AM

Bayesian Variable Selection Using Spike and Slab Prior with Application to High-Dimensional EEG Data by Local Modeling
Shariq Mohammed, University of Connecticut; Dipak Kumar Dey, University of Connecticut; Yuping Zhang, University of Connecticut
11:50 AM

Bayesian Nonparametrics for Evolutionary Model Selection
Mandev Gill
11:55 AM

Bayesian Variable Selection for Multi-Outcome Models Through Shared Shrinkage
Debamita Kundu, University of Louisville; Jeremy Gaskins, University of Louisville; Ritendranath Mitra, University of Louisville
12:05 PM

Assessing Authorship of Beatles Songs from Musical Content: Bayesian Classification Modeling from Bags-Of-Words Representations
Mark Glickman, Harvard University; Jason Brown, Dept of Mathematics, Dalhousie University; Ryan Song, School of Engineering and Applied Science, Harvard University
12:05 PM

Hospital Profiling for Quality of End-Of-Life Care via Semi-Competing Risks Analysis
Kyu Ha Lee, The Forsyth Institute; Sebastien Haneuse, Harvard T.H. Chan School of Public Health
2:05 PM

Bayesian Hierarchical Multi-Population Multistate Jolly¬Seber Models with Covariates: Application to the Pallid Sturgeon Population Assessment Program
Guohui Wu, SAS Institute Inc.; Scott H. Holan, University of Missouri/U.S. Census Bureau
2:05 PM

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

Making Ranking Priorities More Explicit
Cora Allen-Coleman, University of Wisconsin - Madison; Ronald Gangnon, University of Wisconsin
2:20 PM

Bayesian Design for Intractable Models
Antony Overstall, University of Southampton
2:25 PM

Multivariate Bayesian Predictive Synthesis in Macroeconomic Forecasting
Knut Are Aastveit, Norges Bank; Kenichiro Mcalinn, Booth School of Business, University of Chicago; Jouchi Nakajima, Bank for International Settlements; Mike West, Duke University
2:25 PM

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

Bayesian Reliability Assessment of Facility-Level Patient Outcome Measures
Jianghua He, University of Kansas Medical Center; Nancy Dunton, University of Kansas Medical Center
2:35 PM

Developments of the Synthetic Likelihood Approach for Bayesian Design for Models with Intractable Likelihoods
James McGree
2:45 PM

Hierarchical Bayesian Models for Supernovae and Cosmology
Kaisey Stephen Mandel, University of Cambridge
3:05 PM

Optimal Bayesian Design for Models with Intractable Likelihoods via Machine Learning Methods
Christopher C Drovandi, Queensland University of Technology; Markus Hainy, QUT
3:05 PM

An Exact Auxiliary- Variable Gibbs Sampler for Stochastic Differential Equations
Vinayak P Rao, Purdue University
3:05 PM

Network Meta-Analysis for N-Of-1 Trials with Ordinal Outcomes
Youdan Wang, Brown University; Christopher Schmid, Brown University
3:05 PM

Model-Based Crop Yield Forecasting: Adjustment for Within-State Heterogeneity, Covariate Selection and Variance Estimation
Habtamu Benecha, USDA National Agricultural Statistics Service; Nathan Cruze, USDA National Agricultural Statistics Service; Nell Sedransk, National Institute of Statistical Sciences (NISS)
3:20 PM

Thursday, 08/02/2018

Jeffreys Priors and Alternative Noninformative Solutions for Location-Scale Mixtures
Christian Robert, Universite Paris-Dauphine; Clara Grazian, University of Oxford
8:35 AM

A Time-Varying AR, Bivariate DLM of Functional Near-Infrared Spectroscopy Data
Timothy Johnson, Univ of Michigan
8:35 AM

Epsilon-Approximations to the Pitman-Yor Process
Pierpaolo De Blasi, University of Turin
8:35 AM

Bayesian Variable Selection in Multivariate Nonlinear Regression with Graph Structures
Yabo Niu, Texas A&M University; Nilabja Guha, University of Massachusetts Lowell; Debkumar De, Texas A&M University; Anindya Bhadra, Purdue University; Veera Baladandayuthapani, UT MD Anderson Cancer Center; Bani K. Mallick, Texas A&M University
8:35 AM

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

A Bayesian Semiparametric Regression Model for Joint Analysis of Microbiome Data
Juhee Lee, UC Santa Cruz; Marilou Sison-Mangus, Unversity of California, Santa Cruz
8:55 AM

A Spatial Group Sparse Multi-Task Regression Model for Imaging Genetics
Farouk Nathoo; Yin Song, University of Victoria; Shufei Ge, Simon Fraser University; Liangliang Wang, Simon Fraser University; Jiguo Cao, Simon Fraser University
8:55 AM

Anchored Bayesian Gaussian Mixture Models
Deborah Kunkel, The Ohio State University; Mario Peruggia, The Ohio State University
9:00 AM

Validation of 2015 Residential Energy Consumption Survey End-Use Estimates by Bayesian Calibration Models
Hiroaki Minato, U. S. Energy Information Administration (EIA)
9:05 AM

Bayesian Spectral Analysis of High-Dimensional Time Series
Ori Rosen, Univ of Texas at El Paso; Rob Krafty, University of Pittsburgh
9:05 AM

Partition Mixture of 1D Wavelets for Multi-Dimensional Data with Application to Image Analysis
Li Ma, Duke University; Meng Li, Rice University
9:15 AM

Bayesian Analysis of Multiple-Sample Data
Antonio Lijoi, Bocconi University
9:15 AM

Clustered-Temporal Bayesian Model for Brain Connectivity in Neuroimaging Data
Nairita Ghosal, University of Illinois at Chicago; Sanjib Basu, University of Illinois at Chicago
9:20 AM

Statistical Inference for Interaction Effects in Unreplicated Studies via Bayesian Model Averaging
Christopher Franck, Virginia Tech
9:20 AM

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

Bayesian Variable Selection in Subgroup Analysis
Juan Shen, Fudan University; Naveen Naidu Narisetty, University of Illinois at Urbana Champaign; Xuming He, University of Michigan
9:25 AM

Bayesian Bi-Clustering Methods with Applications to Integrative Genomics and Genetics
Jun Liu, Harvard University; Yang Li, Vatic Labs; Jiexing Wu, Google
9:25 AM

Bayesian Uncertainty Quantification for CO2 Retrieval from Satellite Remote Sensing Data
Anirban Mondal, Case Western Reserve University; Jonathan Hobbs, Jet Propulsion Laboratory
9:35 AM

Signal Aliasing in Gaussian Random Fields for Experiments with Qualitative Factors
Ming-Chung Chang; Shao-Wei Cheng, National Tsing Hua University; Ching-Shui Cheng, Academia Sinica
9:50 AM

An Integrated Bayesian Nonparameteric Method for Clustering of High-Dimensional Mixed Data
Chetkar Jha, University of Missouri; Subharup Guha, University of Florida
9:50 AM

Bayesian Filtering and Model Calibration Approaches to Model an Epidemic Over Space and Time
David Higdon, Virginia Tech; Arindam Fadikar, Virginia Tech; Jonathan Stroud, Georgetown University
9:55 AM

Global Mean-Field Variational Bayes for Density Regression
Tommaso Rigon, Bocconi University; Daniele Durante, Bocconi University
9:55 AM

Bayesian Extrapolation in Pediatric Clinical Trials
Mehreteab F Aregay, Novartis; David Ohlssen, Novartis; Heinz Schmidli, Novartis Pharamceutical Corporation
10:05 AM

Bayesian Sensitivity Analysis to Unmeasured Confounding for Misclassified Data
Joon Jin Song, Baylor University; Qi Zhou, Baylor University; Yoo-Mi Chin, Baylor University; James Stamey, Baylor University
10:35 AM

A Bayesian Hierarchical Summary Receiver Operating Characteristic Model for Network Meta-Analysis of Diagnostic Tests
Haitao Chu, University of Minnesota Twin Cities; Qinshu Lian, University of Minnesota; James S. Hodges, University of Minnesota
10:35 AM

Bayesian Adaptive Dosing: Tailoring Patient Exposure Reduces Therapeutic Failures
Diane Mould, Projections Research, Inc.
10:35 AM

A Bayesian Adaptive Phase 1/2 Design of Cisplatin and Cabazitaxel in Prostate Cancer with Visceral Metastasis
Mourad Tighiouart, Cedars-Sinai Medical Center
10:35 AM

Bayesian Logistic Regression Model for Sub-Areas
Lu Chen, Worcester Polytechnic Institute; Balgobin Nandram, Worcester Polytechnic Institute
10:50 AM

Adaptive Bayesian Interval-Based Oncology Dose Finding Design with Quasi-Continuous Toxicity Model
Dan Zhao, University of Illinois at Chicago; Jian Zhu, Takeda; Eric Westin, ImmunoGen; Ling Wang, Takeda
10:50 AM

Individualized Adaptive Dose-Response Modeling in Multiple Myeloma: Potential to Improve Patient Care
Dean Bottino, Takeda Pharmaceuticals U.S.A.
10:55 AM

Bayesian Hierarchical Methods for Meta-Analysis Combining Randomized-Controlled and Single-Arm Studies
Jing Zhang, University of Maryland College Park; Chia-Wen Ko, U.S. Food and Drug Administration; Lei Nie, Division of Biometrics V, office of Biostatistics, CDER/FDA; Yong Chen, University of Pennsylvania; Ram Tiwari, Center for Devices and Radiologica Health, FDA
10:55 AM

Density estimation via hierarchies of nonparametric priors
Igor Pruenster, Bocconi University
10:55 AM

Bayesian Predictive Probability for Interim Analysis
Dung-Tsa Chen, Moffitt Cancer Center
11:05 AM

A Bayesian Hierarchical Model for Continental-Scale Prediction of Water Quality in US Lakes
Meridith Bartley, Penn State University; Ephraim Hanks, The Pennsylvania State University
11:05 AM

Bayesian Analysis with Orthogonal Matrix Parameters
Michael Jauch, Duke University; Peter Hoff, Duke University; David B Dunson, Duke University
11:05 AM

Survival Models with Compound Random Measures
Fabrizio Leisen, University of Kent
11:15 AM

Bayesian Network Meta-Regression Models Using Heavy-Tailed Multivariate Random Effects with Covariate-Dependent Variances
Ming-Hui Chen, University of Connecticut; Hao Li, University of Connecticut; Joseph G Ibrahim, University of North Carolina Chapel Hill; Sung Duk Kim, National Cancer Institute; Arvind K. Shah, MRL, Merck & Co., Inc.; Jianxin Lin, MRL, Merck & Co., Inc.; Andrew M. Tershakovec, MRL, Merck & Co., Inc.
11:15 AM

Bayesian Integrative Analysis of Brain Functional Networks Incorporating Anatomical Knowledge
Suprateek Kundu, Emory University Rollins School of Public Health; Ixavier Higgins, Rollins School of Public Health-Emory University; Ying Guo, Emory University
11:15 AM

Periodic Benefit-Risk Assessment Using Bayesian Stochastic Multi-Criteria Acceptability Analysis
Sammy Yuan, Merck; Kan Li, University of Texas Health Science Center; Bill Wang, Merck
11:20 AM

"Robust-Squared" Imputation Models Using BART
Yaoyuan Tan, University of Michigan; Carol A.C. Flannagan, University of Michigan, Transport Research Institute; Michael Elliott, University of Michigan
11:20 AM

Practical Considerations of Subgroups Quantification, Selection and Adaptive Enrichment in Confirmatory Trials
Jianchang Lin, Takeda Pharmaceuticals; Rachael Liu, Takeda Pharmaceuticals ; Veronica Bunn, Florida State University
11:20 AM

Bayesian Ising Sparse Nonparametric Model
Inyoung Kim, Virginia Tech; Zaili Fang, Virginia Tech; Byung-Jun Kim, Virginia Polytechnic Inst. & State Univ.
11:20 AM

Bayesian Hypothesis Tests with Diffuse Priors: Can We Have Our Cake and Eat it Too?
John T Ormerod, University of Sydney; Michael Stewart, University of Sydney; Weichang Yu, University of Sydney; Sarah Romanes, The University of Sydney
11:20 AM

Biomarker Guided Phase II Two-Stage Design for Targeted Therapy
Zheyu Wang, Johns Hopkins University; Fujun Wang, Medimmune; Chenguang Wang, Johns Hopkins University; Gary Rosner, Johns Hopkins University; Jianliang Zhang, Medimmune; Hao Wang, Johns Hopkins University; Li Shi, Medimmune
11:25 AM

A Bayesian Approach to Sequential Analysis in Post-Licensure Vaccine Safety Surveillance
Rongxia Li, Centers for Disease Control and Prevention
11:35 AM

Recursive Bayesian Predictive Distributions
Stephen Walker
11:35 AM

Bayesian Reversible-Jump Sequential Variable Selection Methodology for High-Dimensional Arrays of Paired Predictors, with Application in Assessing Added-Value in Proteomics Data.
Bart Mertens, Leiden University Medical Centre; Alexia Kakourou, Leiden University Medical Centre
11:35 AM

Bayesian Network-On-Scalar Regression
Jian Kang, University of Michigan
11:35 AM

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

Approximate Bayesian Forecasting
Brendan McCabe, University of Liverpool
11:50 AM

BOIN-ET: Bayesian Optimal Interval Design for Dose Finding Based on Both Efficacy and Toxicity Outcomes
Kentaro Takeda, Astellas Pharma Global Development, Inc.; Masataka Taguri, Yokohama City University; Satoshi Morita, Kyoto University
12:05 PM

A Bayesian Approach to Benefit-Risk Assessment for Ophthalmic Devices
Chul Ahn, FDA-CDRH
12:05 PM

JSM 2018 Online Program

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