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

Activity Details


Register CE_04C
Sat, 7/28/2018, 8:30 AM - 5:00 PM CC-East 12
Bayesian Thinking: Fundamentals, Computation, and Multilevel Modeling (ADDED FEE) — Professional Development Continuing Education Course
ASA, Section on Bayesian Statistical Science
Instructor(s): Jim Albert, Bowling Green State University
The basic tenets of Bayesian thinking are introduced, including construction of priors, summarization of the posterior to perform inferences, and the use of prediction distributions for prediction and model checking. There will be a focus on Bayesian regression for continuous and categorical response data. Bayesian multilevel models are introduced as a flexible way of modeling regressions over groups. The use of R in Bayesian computation is described, including the programming of the posterior distribution and the use of different R tools to summarize the posterior. Special focus will be on the application of Markov chain Monte Carlo algorithms and diagnostic methods to assess convergence of the algorithms. The LearnBayes and rethinking R packages are used to illustrate MCMC fitting by the use of gibbs sampling and Metropolis algorithms. Larger Bayesian models will be fit using JAGS and Stan and the accompanying rjags and rstan packages. Some familiarity of the participant with the R statistical language would be helpful.
8:30 AM Bayesian Thinking: Fundamentals, Computation, and Multilevel Modeling (ADDED FEE)
Jim Albert, Bowling Green State University
 
 

Register CE_11C
Sun, 7/29/2018, 8:30 AM - 5:00 PM CC-East 11
Practical Considerations for Bayesian and Frequentist Adaptive Clinical Trials (ADDED FEE) — Professional Development Continuing Education Course
ASA, Section on Bayesian Statistical Science
Instructor(s): Frank Bretz, Novartis Pharma AG; Byron Jones, Novartis Pharma AG; Peter Müller, University of Texas Austin
Clinical trials play a critical role in pharmaceutical drug development. New trial designs often depend on historical data, which, however, may not be accurate for the current study due to changes in study populations, patient heterogeneity, or different medical facilities. As a result, the original plan and study design may need to be adjusted or even altered to accommodate new findings and unexpected interim results. Through carefully thought-out and planned adaptation, the right dose can be identified faster, patients can be treated more effectively, and treatment effects evaluated more efficiently. This one-day short course will introduce various adaptive methods for Phase I to Phase III clinical trials using both, frequentist and Bayesian methods. Accordingly, different types of adaptive designs will be introduced and practical considerations will be illustrated with case studies. Types of adaptive clinical trial designs covered in this course include dose escalation/de-escalation and dose insertion based on observed data, adaptive dose finding studies using optimal designs to allocate new cohorts of patients based on the accumulated evidence, blinded and unblinded sample size reestimation as well as adaptive designs for confirmatory trials with treatment or population selection at interim.
8:30 AM Practical Considerations for Bayesian and Frequentist Adaptive Clinical Trials (ADDED FEE)
Byron Jones, Novartis Pharma AG; Frank Bretz, Novartis Pharma AG; Peter Müller, University of Texas Austin
 
 

7 !
Sun, 7/29/2018, 2:00 PM - 3:50 PM CC-West 110
Bayesian Nonparametrics in Causal Inference — Invited Papers
Section on Bayesian Statistical Science, Biometrics Section, ENAR
Organizer(s): Chanmin Kim, Boston University School of Public Health
Chair(s): Leah Comment, Harvard T.H. Chan School of Public Health
2:05 PM A Bayesian Nonparametric Approach for Causal Inference with Semi-Competing Risks
Presentation
Michael Daniels, University of Florida; Peter Müller, University of Texas Austin; Yanxun Xu, Johns Hopkins University; Daniel Scharfstein, Johns Hopkins University
2:25 PM Regularization and Aliasing in the Estimation of Treatment Effect Moderation
Presentation
Paul Richard Hahn, Arizona State University ; Carlos Carvalho, University of Texas; Jared S Murray, University of Texas at Austin
2:45 PM Bayesian Population Finding Using Counterfactual Modeling of Responses
Presentation
Peter Müller, University of Texas Austin; Satoshi Morita, Kyoto University
3:05 PM Causal Inference for Outcomes Partially Identified by Longitudinal Laboratory Measures from EHRs
Presentation
Jason Roy, University of Pennsylvania; Bret Zeldow, University of Pennslyvania
3:25 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
3:45 PM Floor Discussion
 
 

47 * !
Sun, 7/29/2018, 4:00 PM - 5:50 PM CC-East 10
Statistical Analysis of Linked Data — Invited Papers
Survey Research Methods Section, Section on Bayesian Statistical Science, Section on Statistical Learning and Data Science, Caucus for Women in Statistics, Social Statistics Section
Organizer(s): Ying Han, University of Maryland, College Park; Partha Lahiri, University of Maryland, College Park
Chair(s): Daniel Bonnery, University of Maryland
4:05 PM Outlier Robust Inference Using Probabilistically Linked Data
Presentation
Nicola Salvati, University of Pisa; Suojin Wang, Texas A&M University; Enrico Fabrizi, Catholic University of Sacro Cuore; Raymond Chambers, University of Wollongong
4:30 PM Entity Resolution with Societal Impacts in Statistical Machine Learning
Presentation
Rebecca C. Steorts, Duke University
4:55 PM A Bayesian Approach for Deduplication, Record Linkage, and Inference with Linked Data
Presentation
brunero liseo, Sapienza Università di Roma; Andrea Tancredi, Sapienza Università di Roma; Rebecca C. Steorts, Duke University
5:20 PM Discussant: Mauricio Sadinle, University of Washington
5:45 PM Floor Discussion
 
 

57 * !
Sun, 7/29/2018, 4:00 PM - 5:50 PM CC-West 110
Developments in Bayesian Spatial and Spatio-Temporal Modeling of Small Area Health Data — Topic Contributed Papers
Section on Bayesian Statistical Science, Survey Research Methods Section
Organizer(s): Andrew B Lawson, Medical University of South Carolina
Chair(s): Dipankar Bandyopadhyay, Virginia Commonwealth University
4:05 PM Spatio-Temporal Models for Big Multinomial Data Using the Conditional Multivariate Logit-Beta Distribution
Presentation
Scott H. Holan, University of Missouri/U.S. Census Bureau; Jonathan R Bradley, Florida State University; Christopher K. Wikle, University of Missouri
4:25 PM Spatial Bayesian Fusing Models for Sparse Networks and Health Risk
Presentation
Andrew B Lawson, Medical University of South Carolina ; Raymond Boaz, Medical University of South Carolina
4:45 PM Age-Specific Distributed Lag Models for Assessing the Impact of Heat on Health
Presentation
Matthew Heaton, Brigham Young University; Cassandra Olenick, National Center for Atmospheric Research
5:05 PM A Spatiotemporal Recommendation Engine for Malaria Control
Qian Guan, North Carolina State University; Brian Reich, North Carolina State University; Eric Laber, North Carlina State University
5:25 PM Estimating the Changing Nature of Scotland's Health Inequalities Using a Multivariate Spatio-Temporal Model
Presentation
Eilidh Jack, University of Glasgow; Duncan Lee, University of Glasgow; Nema Dean, University of Glasgow
5:45 PM Floor Discussion
 
 

78
Sun, 7/29/2018, 4:00 PM - 5:50 PM CC-West 112
Bayesian Generalized Linear Models for Medicine — Contributed Papers
Section on Bayesian Statistical Science
Chair(s): Zehang Li, University of Washington
4:05 PM Bayesian Overlapping Group Lasso: An Application in Jointly Modeling Multiple Genetic Pathways with Several Common Genes Between
Sounak Chakraborty, University of Missouri, Columbia
4:20 PM DETECTING ADVERSE DRUG EFFECTS from PHARMACOVIGILANCE DATABASES
Yu Gao, University of Waterloo; Kun Liang, University of Waterloo
4:35 PM Bayesian Hierarchical Models and Influenza Modeling
Nehemias Ulloa, Iowa State University; Jarad Niemi, Iowa State University
4:50 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
5:05 PM A Bayesian General Linear Modeling Approach to Cortical Surface fMRI Data Analysis
Presentation
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
5:20 PM Characterization of Critically Ill Patients Using the Profile Counts of Laboratory Tests and Medications
Presentation
Eduardo PhD Antonio Trujillo Rivera, George Washington University, Children's National Health System; Qing PhD Zeng, George Washington University, Department of Veterans Affairs; James Bost, Children's National Medical Center; Anita MD Patel, Children's National Health System, George Washington University; Hiroki PhD Morizono, Center for Genetic Medicine Research, Children's Research Institute; Dongkyu PhD Kim, Children's Research Institute, Children's National Health System; James MD Chamberlain, Children's National Health System, George Washington University; Murray MBA MD Pollack, Children's National Health System, George Washington University
5:35 PM Floor Discussion
 
 

87
Sun, 7/29/2018, 8:30 PM - 10:30 PM CC-West Hall B
Invited ePoster Session: a Statistical Smörgåsbord — Invited Poster Presentations
SSC, Section on Bayesian Statistical Science, Section on Statistics in Epidemiology, Section on Statistical Learning and Data Science, Section on Nonparametric Statistics, Biometrics Section, Section on Statistics and the Environment, Section for Statistical Programmers and Analysts, Section on Statistics in Imaging, WNAR, Social Statistics Section, Astrostatistics Special Interest Group, Biopharmaceutical Section, ENAR, Section on Risk Analysis, Section on Statistical Consulting
Chair(s): Paul McNicholas, McMaster University
1: The LISA 2020 Program to Build Statistics Capacity in Developing Countries
Eric Vance, LISA-University of Colorado Boulder
2: Conditions for the Uniqueness, Finiteness, and Possible Location of the Maximum Likelihood Estimate with a Log Binomial Model
Gurbakhshash Singh, University of Calgary; Gordon Hilton Fick, University of Calgary
3: Two Mixture-Based Clustering Approaches: Modeling an Automobile Insurance Portfolio
Tatjana Miljkovic, Miami University; Daniel Fernandez, Victoria University of Wellington
4: An Expectation Conditional Maximization Approach for Gaussian Graphical Models
Zehang Li, University of Washington; Tyler McCormick, University of Washington
5: A Bayesian Model for Multivariate Micro-Level Insurance Claims
Marie-Pier Côté, Universite Laval; Christian Genest, McGill University; David A Stephens, McGill University
6: Deep Learning for Statistical Inference in Infectious Disease Systems
Rob Deardon, University of Calgary; Carolyn Augusta, University of Guelph; Graham Taylor, University of Guelph
7: Flexible Accelerated Failure Time Model in Survival Analysis
Menglan Pang, McGill University; Michal Abrahamowicz, McGill University; Robert W Platt, McGill University
8: Spatio-Temporal Analysis of Children and Adolescents' Emergency Department Use for Mental Health Reasons in Alberta, Canada
Michelle Thiessen, Simon Fraser University; Joan Hu, Simon Fraser University; Rhonda J. Rosychuk, University of Alberta
9: Approximate Bayesian Computation with Complex High-Dimensional Data and Limited Simulations
Taylor Gene Pospisil, Carnegie Mellon University
10: Zero Counts in Single Cell RNA-Seq Data
Hao Wu, Emory University; Zhijin Wu, Brown University
11: Quasi-Oracle Estimation of Heterogeneous Treatment Effects
Xinkun Nie, Stanford University; Stefan Wager, Stanford University
12: Estimation of Fire Duration Distribution with Missing Start Time
Yi Xiong, Simon Fraser University; John Braun, University of British Columbia ; Joan Hu, Simon Fraser University
13: 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
14: 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
15: A Novel Bayesian Framework to Probe Closed Box Nature of Galaxy Clusters
Arya Farahi, University of Michigan - Ann Arbor
16: Statistical Approaches to Decreasing the Discrepancy of Non-Detects in QPCR Data
Valeriia Sherina, University of Rochester Medical Center; Love Tanzy, University of Rochester Medical Center; Matthew N. McCall, University of Rochester Medical Center
17: Generalized Statistical Inference for Astrophysical Discoveries
Sara Algeri, Imperial College London; David A van Dyk, Imperial College London; Jan Conrad, Oskar Klein Centre for Cosmoparticle Physics
18: Nonparametric Causal Effects Based on Incremental Propensity Score Interventions
Edward Kennedy, Carnegie Mellon University; Matteo Bonvini, Carnegie Mellon University
19: Addressing Overfitting in Mixtures of Factor Analyzers
Jeffrey L Andrews, University of British Columbia Okanagan
20: Spatiotemporal Analysis of Environmental Health Risk
Renjun Ma, University of New Brunswick; Edward Hughes, Edward Hughes Consulting
21: Probabilistic Partial Least Squares Regression Applied to Longitudinal and Cross-Sectional Compositional Data
Peter A Tait, McMaster Univeristy; Paul McNicholas, McMaster University
22: Detection of Trend Onset in Environmental Time Series
Ying Zhang, Acadia University
23: 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
24: Infere
Steven Cumming, Université Laval
25: Functional Partial Linear Quantile Regression Based on Reproducing Kernel Hilbert Space
Peng Liu, University of Alberta; Linglong KONG, University of Alberta; Bei JIANG, University of Alberta; Nan Zhang, Fudan University; Jianhua Z. Huang, Texas A&M University
26: Gaussian Process Regression with Large Data Sets: Has the Problem Been Solved?
Sonja Surjanovic, University of British Columbia; William Welch, University of British Columbia
27: Sparse Estimation for Functional Semiparametric Additive Model
Peijun Sang, Simon Fraser University; Richard Lockhart, Simon Fraser University; Jiguo Cao, Simon Fraser University
28: Analysis of Paired Binary Data Subject to Misclassification Using a Random Effect Model
Hua Shen, University of Calgary ; Richard John Cook, University of Waterloo
29: A Grouped Weighted Quantile Regression Approach to Modeling Environmental Chemical Mixtures and Childhood Leukemia Risk
David C. Wheeler, Virginia Commonwealth University
30: Efficient Robust Doubly Adaptive Regularized Regression with Application to fMRI Data
Wei Tu, University of Alberta
31: 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
32: The Consequences of Requiring 'Greater Statistical Stringency' for Scientific Publication
Harlan Campbell, University of British Columbia; Paul Gustafson, University of British Columbia
33: Mixtures of Contaminated Shifted Asymmetric Laplace Factor Analyzers
Brian C Franczak, MacEwan University
34: Uncertainty Quantification of Stochastic Computer Model for Binary Black Hole Formation
Luyao Lin, Simon Fraser University; Jim Barrett, University of Birmingham; Derek Bingham, Simon Fraser University; Ilya Mandel, University of Birmingham
35: Network Meta-Analysis of Disconnected Networks: How Dangerous Are Random Baseline Treatment Effects?
Audrey Béliveau, University of Waterloo; Sarah Goring, SMG Outcomes Research; Robert W Platt, McGill University; Paul Gustafson, University of British Columbia
36: Nonparametric Measures of Local Causality and Tests of Local Non-Causality in Time Series
Felix Camirand Lemyre, School of mathematics and statistics, University of Melbourne; Taoufik Bouezmarni, Université de Sherbrooke; Jean-François Quessy, Université du Québec à Trois-Rivières
37: Sparse Functional Principal Component Analysis in a New Regression Framework
YUNLONG NIE, Simon Fraser University; Jiguo Cao, Simon Fraser University
38: Inference of Introgressive Hybridization in Anopheles Mosquito Genomes
Jingxue(Grace) Feng, Simon Fraser University; Liangliang Wang, Simon Fraser University; Cedric Chauve, Simon Fraser University
39: Statistical Methods for Addressing Missing Data in HIV/AIDS Surveillance Systems
Sahar Zangeneh, Fred Hutchinson Cancer Research Center; Ying Qing Chen, Fred Hutchinson Cancer Research Center; Deborah Donnell, Fred Hutch
40: Latent Mixtures of Functions to Characterize the Complex Exposure Relationships of Pesticides on Cancer Incidence
Sung Duk Kim, National Cancer Institute; Paul S Albert, National Cancer Institute
 
 

98 *
Mon, 7/30/2018, 8:30 AM - 10:20 AM CC-West 224
New Developments in Bayesian Additive Regression Trees — Invited Papers
Section on Bayesian Statistical Science, International Society for Bayesian Analysis (ISBA), National Institute of Statistical Sciences
Organizer(s): Rodney Sparapani, Medical College of Wisconsin
Chair(s): Robert McCulloch, Arizona State University
8:35 AM Individualized Treatment for Time-To-Event Outcomes with BART
Presentation
Brent Logan, Medical College of Wisconsin
9:00 AM Nonparametric Regression Models of Multilevel, Heterogeneous Treatment Effects: The National Study of Learning Mindsets
Carlos Carvalho, University of Texas; Jared S Murray, University of Texas at Austin; Paul Richard Hahn, Arizona State University ; David Yeager, The University of Texas at Austin; Elizabeth Tipton, Columbia University
9:25 AM Bayesian Regression Tree Ensembles That Adapt to Smoothness and Sparsity
Presentation
Antonio Ricardo Linero, Florida State University; Yun Yang, Florida State University
9:50 AM Discussant: Prakash Laud, Medical College of Wisconsin
10:15 AM Floor Discussion
 
 

141 * !
Mon, 7/30/2018, 10:30 AM - 12:20 PM CC-West 306
Recent Advances in High-Dimensional Bayesian Model Selection — Invited Papers
International Indian Statistical Association, Section on Bayesian Statistical Science, Section on Statistical Learning and Data Science
Organizer(s): Naveen Naidu Narisetty, University of Illinois at Urbana Champaign
Chair(s): Naveen Naidu Narisetty, University of Illinois at Urbana Champaign
10:35 AM Fully Bayesian Spectral Methods for Imaging Data
Presentation
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
11:00 AM Neuronized Priors for A Unified Sparsity Inference
Presentation
Ismael Castillo, Universite Pierre et Marie Curie - Paris 6; Minsuk Shin, Harvard University
11:25 AM Statistical Properties of Variational Bayes
Presentation
Anirban Bhattacharya, Texas A&M University; Debdeep Pati, Texas A&M University; Yun Yang, Florida State University
12:15 PM Floor Discussion
 
 

151 * !
Mon, 7/30/2018, 10:30 AM - 12:20 PM CC-West 224
#LeadwithStatistics in the Social Sciences — Topic Contributed Papers
Section on Bayesian Statistical Science, Social Statistics Section, Business and Economic Statistics Section
Organizer(s): Tyler McCormick and Adrian Raftery, University of Washington
Chair(s): Bailey Fosdick, Colorado State University
10:35 AM Model Selection, Contingency Tables and Human Mobility
Presentation
Adrian Dobra, University of Washington
10:55 AM Covariate Selection for Generalizing Experimental Results
Presentation
Erin Hartman, UCLA; Naoki Egami, Princeton University
11:15 AM Estimating Unmet Need for Contraceptive Methods in the World's Poorest Countries
Presentation
Leontine Alkema, University of Massachusetts Amherst; Niamh Cahill, University College Dublin; Chuchu Wei, University of Massachusetts Amherst
11:35 AM Sharing of Network Data: Differentially Private Synthetic Networks
Presentation
Aleksandra Slavkovic, Pennsylvania State University; Vishesh Karwa, Ohio State University; Pavel Krivitsky, University of Wollongong
11:55 AM Discussant: Adrian Raftery, University of Washington
12:15 PM Floor Discussion
 
 

166
Mon, 7/30/2018, 10:30 AM - 12:20 PM CC-West 213
SPEED: Topics in Bayesian Analysis — Contributed Speed
Section on Bayesian Statistical Science, Section on Statistical Computing
Chair(s): Bettina Grün, Johannes Kepler Universität
Poster Presentations for this session.
10:35 AM Variable Selection with Missing Data Imputation in the High-Dimensional Setting
Presentation
Soeun Kim, The University of Texas Health Science Center at Houston; Yunxi Zhang, The University of Texas Health Science Center at Houston
10:40 AM Geometric Sensitivity Measures for Nonparametric Bayesian Models in Density Estimation
Presentation
Abhijoy Saha, The Ohio State University; Sebastian Kurtek, The Ohio State University; Karthik Bharath, The University of Nottingham
10:45 AM Using Modified Competitive Swarm Optimizer to Find D-Optimal Designs for Complicated Logistic Models
Zizhao Zhang, UCLA; Weng Kee Wong, UCLA
10:50 AM Uncertainty in the Design Stage of Two-Stage Bayesian Propensity Score Analysis
Shirley Liao
10:55 AM A Theoretical Framework for Bayesian Nonparametric Regression: Orthonormal Random Series and Rates of Contraction
Presentation
Fangzheng Xie, Johns Hopkins University; Wei Jin, Johns Hopkins University; Yanxun Xu, Johns Hopkins University
11:00 AM 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
11:05 AM Pseudo-Marginal Markov Chain Monte Carlo via Random Riemann Sums for Stochastically Scaled Gaussian Vectors
Patrick Muchmore
11:10 AM A Bayesian Model Selection Approach to Multiple Comparisons
Presentation
Javier E. Flores, University of Iowa; Andrew Neath, SIU Edwardsville; Joseph Cavanaugh, University of Iowa
11:20 AM Melded Bayesian Inference for Stochastic Theoretical Models with Applications in Agent Based Modeling
Presentation
Mark Dawkins
11:35 AM Bayesian Cumulative Probability Models for Continuous Response Variables
Presentation
Nathan Thomas James, Vanderbilt University; Frank Harrell, Vanderbilt University, Dept of Biostatistics; Bryan E Shepherd, Vanderbilt University School of Medicine
11:40 AM Bayesian Modular and Multiscale Regression
Presentation
Michele Peruzzi; David B Dunson, Duke University
11:45 AM Bayesian Forecasting and Dynamic Modeling of Physical Processes in Industrial Hygiene
Presentation
Nada Abdalla, UCLA; Sudipto Banerjee, UCLA School of Public Health; Gurumurthy Ramachandran, John Hopkins University; Susan Arnold, University of Minnesota
11:50 AM Combining Predictive Mean Matching with the Penalized Spline of Propensity Prediction Method When Performing Multiple Imputation
Presentation
Jay Xu; Roee Gutman, Brown University
11:55 AM Dose Finding Methods Using Two Endpoints in Early Clinical Studies
Presentation
Kyounghwa Bae, Janssen Research & Development, LLC; Zhentao Tong, North Carolina State University ; Vladimir Dragalin, Janssen R&D
12:00 PM Bayesian Model Selection for Markov Chains Using Sparse Probability Vectors
Matthew Heiner, UC Santa Cruz; Athanasios Kottas, UC Santa Cruz; Stephan Munch, NOAA
12:05 PM A Combinatoric Search for Clustered Levels in Categorical Predictors via Bayesian Model Selection
Presentation
Thomas Metzger, Virginia Tech; Christopher Franck, Virginia Tech
12:10 PM Uncertainty in Probabilistic Weighted Multidimensional Scaling
Presentation
Lata Kodali; Leanna House, Virginia Tech
 
 

175
Mon, 7/30/2018, 10:30 AM - 12:20 PM CC-West 223
Bayesian Theory, Foundations, and Nonparametrics — Contributed Papers
Section on Bayesian Statistical Science
Chair(s): Alexia Iasonos, Memorial Sloan Kettering Cancer Center
10:35 AM A Weighted Dirichlet Process Mixture Modeling for Functional Clustering
Presentation
Wenyu Gao, Virginia Tech; Inyoung Kim, Virginia Tech
10:50 AM Posterior Convergence and Coverage Aspects of Gaussian Process Approximations
Presentation
Biraj Subhra Guha, Texas A & M University; Debdeep Pati, Texas A&M University
11:05 AM Semiparametric Bayes Model for Multidimensional Instrumental Variables
Presentation
Ryo Kato, Keio University; Takahiro Hoshino, Keio University
11:20 AM Bayesian Estimation Under Informative Sampling with Unattenuated Dependence
Terrance Savitsky, Bureau of Labor Statistics; Matthew Williams, SAMHSA/CBHSQ
11:35 AM Floor Discussion
 
 

230 * !
Mon, 7/30/2018, 2:00 PM - 3:50 PM CC-West 223
Recent Advances in Nonexchangeable, Dependent, Random Partition and Feature Allocation Models — Topic Contributed Papers
International Society for Bayesian Analysis (ISBA), Section on Bayesian Statistical Science
Organizer(s): Garritt L Page, Brigham Young University
Chair(s): Richard Warr, Brigham Young University
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
2:25 PM Determinantal Point Process Mixtures via Spectral Density Approach
Presentation
Fernando Quintana, Pontificia Universidad Catolica De Chile; Alessandra Guglielmi, Politecnico de Milano; Ilaria Bianchini, Politecnico de Milano
2:45 PM Attraction Indian Buffet Distribution
Presentation
David Dahl, Brigham Young University; Richard Warr, Brigham Young University
3:05 PM Exploiting Conjugacy to Build Time Dependent Feature Allocation Models
Presentation
Raffaele Argiento, Università di Torino; Ilaria Bianchini, Politecnico de Milano; Jim Edward Griffin, University of Kent
3:25 PM Recent Advances in Dependent Random Partition Models
Presentation
Garritt L Page, Brigham Young University; Fernando Quintana, Pontificia Universidad Catolica De Chile
3:45 PM Floor Discussion
 
 

234
Mon, 7/30/2018, 2:00 PM - 3:50 PM CC-West 222
SBSS Student Travel Award Session 2 — Topic Contributed Papers
Section on Bayesian Statistical Science
Organizer(s): Robert Gramacy, Virginia Tech
Chair(s): Robert Gramacy, Virginia Tech
2:05 PM Nonparametric Generalized Fiducial Inference for Survival Functions Under Censoring
Presentation
Yifan Cui, University of North Carolina at Chapel Hill; Jan Hannig, University of North Carolina
2:25 PM The Inverse Gamma-Gamma Pior for Optimal Posterior Contraction and Multiple Hypothesis Testing
Presentation
Ray Bai, University of Florida; Malay Ghosh, University of Florida
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
3:05 PM Bayesian Nonparametric Differential Analysis with Application to Colorectal Cancer DNA Methylation
Presentation
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
3:25 PM Covariances, Robustness, and Variational Bayes
Presentation
Ryan Giordano; Tamara Broderick, Massachusetts Institute of Technology; Michael Jordan, UC Berkeley
3:45 PM Floor Discussion
 
 

249
Mon, 7/30/2018, 2:00 PM - 3:50 PM CC-West 221
Bayesian Methods for Social and Human Data — Contributed Papers
Section on Bayesian Statistical Science
Chair(s): Sameer Deshpande, University of Pennsylvania, Wharton Statistics
2:05 PM Bayesian Disaggregation of Spatio-Temporal Survey-Based Estimates: An Application to the American Community Survey
Presentation
Marco H. Benedetti, University of Michigan; Veronica J. Berrocal, University of Michigan
2:20 PM Bayesian Network Regularized Regression for Modeling Urban Crime Occurrences
Presentation
Elizabeth Mary Upton, Boston University; Luis Carvalho, Boston University
2:35 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
2:50 PM A Hierarchical Bayesian Cognitive Diagnostic Factor Model for Learning Trajectories
Presentation
Albert Man, UIUC; Steven Culpepper, University of Illinois at Urbana-Champaign
3:05 PM A Bayesian Nonparametric Method for Zero-Inflated Data with Applications to Medical Costs
Presentation
Arman Oganisian, University of Pennsylvania; Nandita Mitra, University of Pennsylvania; Jason Roy, University of Pennsylvania
3:20 PM Floor Discussion
 
 

256
Mon, 7/30/2018, 2:00 PM - 3:50 PM CC-West Hall B
Contributed Poster Presentations: Section on Bayesian Statistical Science — Contributed Poster Presentations
Section on Bayesian Statistical Science
Chair(s): Paul McNicholas, McMaster University
67: Comparison of Variable Selection Approaches in Predictive Modeling
Jing Zhang, Miami University; Thomas Fisher, Miami University; Qi He, Miami University
70: 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
71: 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
73: An Autonomous Confidence Set Is a Conservative Credible Set
Sitaram Vangala, UCLA Health System; Robert Weiss, UCLA
74: 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
75: Comparing Behavioral Dynamics Between Groups of Mice Using Hierarchical Hidden Semi Markov Models
Emmeke Aarts, Utrecht University
76: Bayesian Variable Selection of Stochastic Volatility Models in Financial Time Series
Feng Chi Liu
77: Bayesian and Unsupervised Machine Learning Machines for Jazz Music Analysis
Qiuyi Wu, ASA; Ernest Fokoue, ASA
78: Bayesian Functional Quantile Regression
Yusha Liu, Rice University; Jeffrey S Morris, The University of Texas M.D. Anderson Cancer Center; Meng Li, Rice University
80: Bayesian Sparse Regression in the Presence of Nuisance Parameters
Seonghyun Jeong, North Carolina State University; Subhashis Ghoshal, North Carolina State Univeristy
81: Median Regression for Clustered, Interval Censored Data
Piyali Basak, Florida State University; STUART LIPSITZ, HARVARD MEDICAL SCHOOL; Debajyoti Sinha, Florida State University
82: 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
83: 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
 
 

260
Mon, 7/30/2018, 3:05 PM - 3:50 PM CC-West Hall B
SPEED: Topics in Bayesian Analysis — Contributed Poster Presentations
Section on Bayesian Statistical Science, Section on Statistical Computing
Chair(s): Paul McNicholas, McMaster University
Oral Presentations for this session.
21: Variable Selection with Missing Data Imputation in the High-Dimensional Setting
Soeun Kim, The University of Texas Health Science Center at Houston; Yunxi Zhang, The University of Texas Health Science Center at Houston
22: 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
23: Using Modified Competitive Swarm Optimizer to Find D-Optimal Designs for Complicated Logistic Models
Zizhao Zhang, UCLA; Weng Kee Wong, UCLA
24: Uncertainty in the Design Stage of Two-Stage Bayesian Propensity Score Analysis
Shirley Liao
25: 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
26: 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
27: Pseudo-Marginal Markov Chain Monte Carlo via Random Riemann Sums for Stochastically Scaled Gaussian Vectors
Patrick Muchmore
28: A Bayesian Model Selection Approach to Multiple Comparisons
Javier E. Flores, University of Iowa; Andrew Neath, SIU Edwardsville; Joseph Cavanaugh, University of Iowa
30: Melded Bayesian Inference for Stochastic Theoretical Models with Applications in Agent Based Modeling
Mark Dawkins
32: 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
33: Bayesian Modular and Multiscale Regression
Michele Peruzzi; David B Dunson, Duke University
34: 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
35: Combining Predictive Mean Matching with the Penalized Spline of Propensity Prediction Method When Performing Multiple Imputation
Jay Xu; Roee Gutman, Brown University
36: Dose Finding Methods Using Two Endpoints in Early Clinical Studies
Kyounghwa Bae, Janssen Research & Development, LLC; Zhentao Tong, North Carolina State University ; Vladimir Dragalin, Janssen R&D
37: Bayesian Model Selection for Markov Chains Using Sparse Probability Vectors
Matthew Heiner, UC Santa Cruz; Athanasios Kottas, UC Santa Cruz; Stephan Munch, NOAA
38: A Combinatoric Search for Clustered Levels in Categorical Predictors via Bayesian Model Selection
Thomas Metzger, Virginia Tech; Christopher Franck, Virginia Tech
39: Uncertainty in Probabilistic Weighted Multidimensional Scaling
Lata Kodali; Leanna House, Virginia Tech
Oral Presentations for this session.
 
 

Register 265
Tue, 7/31/2018, 7:00 AM - 8:15 AM CC-West Ballroom D
Section on Bayesian Statistical Science A.M. Roundtable Discussion (Added Fee) — Roundtables AM Roundtable Discussion
Section on Bayesian Statistical Science
Organizer(s): Mahlet Tadesse, Georgetown University
TL04: Interpretable Statistical Machine Learning for Validation and Uncertainty Quantification of Complex Models
Ana Kupresanin, Lawrence Livermore National Laboratory
 
 

297
Tue, 7/31/2018, 8:30 AM - 10:20 AM CC-West 202
SBSS Student Travel Award Session 1 — Topic Contributed Papers
Section on Bayesian Statistical Science
Organizer(s): Elena A Erosheva, University of Washington ; Robert Gramacy, Virginia Tech
Chair(s): Elena A Erosheva, University of Washington
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
8:55 AM Bayesian Probabilistic Numerical Methods
Presentation
Jonathan Cockayne
9:15 AM Bayesian Regularization for Graphical Models with Unequal Shrinkage
Presentation
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
9:35 AM Bayesian Inference in Nonparanormal Graphical Models
Presentation
Jami Mulgrave; Subhashis Ghosal, North Carolina State University
9:55 AM Recursive Non-Parametric Predictive for a Discrete Regression Model
Lorenzo Cappello; Stephen Walker
10:15 AM Floor Discussion
 
 

301
Tue, 7/31/2018, 8:30 AM - 10:20 AM CC-West 213
SPEED: Statistics for Biopharmaceutical Studies — Contributed Speed
Biopharmaceutical Section, Section on Bayesian Statistical Science
Chair(s): Michael M. Hoffman, Princess Margaret Cancer Centre/University of Toronto
Poster Presentations for this session.
8:35 AM Probabilistic Modeling of Sleep and Awake States in Alzheimer's Disease
Presentation
Cici Bauer, Pfizer, Inc; Charmaine Demanuele, Pfizer, Inc. ; Dmitri Volfson, Pfizer
8:40 AM Integrative Statistical Analysis Pipeline for RNA-Seq and NanoString with Application to Gene Expression Data of Cancer Patients
Presentation
Jeea Choi, Novartis Pharmaceuticals; Catarina D. Campbell, Novartis Institutes for BioMedical Research; Xiaoshan Wang, Novartis Pharmaceuticals; He Wei, Novartis Pharmaceuticals; Robinson Douglas, Novartis Pharmaceuticals; Stephane Wong, Novartis Pharmaceuticals; Bin Fu, Novartis Pharmaceuticals; Rebecca Leary, Novartis Institutes for BioMedical Research; Kavitha Venkatesan, Novartis Institutes for BioMedical Research; Ying A Wang, Novartis Pharmaceuticals
8:45 AM Bridging Information Between Dose-Response Curves Across Populations in Early Phase Clinical Trials
Moreno Ursino, Inserm DR PA 6
8:50 AM A Simultaneous PK/PD Model for Muscle Relaxant Using Muscle Twitch Counts
Presentation
Elizabeth Sigworth; Matthew S Shotwell, Vanderbilt University
8:55 AM STEPDOWN TESTING PROCEDURES for DOSE FINDING STUDY with ADAPTIVE DESIGN
Presentation
Gang Jia, Merck & Co.
9:00 AM Conditional Power Calculation for the Interim Monitoring of Cluster-Randomized Trials with Interval-Censored Endpoints
Presentation
Kaitlyn Cook, Harvard University; Rui Wang, Harvard Pilgrim HealthCare Institute
9:05 AM Explore Modified Organ Dysfunction Score System to Improve the Prediction of Survival
Presentation
Grace Zhang, GSK
9:10 AM Discovering Biomarkers Jointly Modeled with Multiple Efficacy Variables in Early Phase Clinical Trials
Presentation
Danni Yu, Eli Lilly and Company
9:15 AM Extended Rank Tests for Analyzing Recurrent Event Data
Presentation
Qiang Zhao; Mark Chang, Veristat; Michael LaValley, Boston University; Joseph M. Massaro, Boston University; Bin Zhang, Seqirus; Kathryn Lunetta, Boston University
9:20 AM A Study in the Use of Unsupervised Random Forest in the Analysis of Data Sets Composed of Categorical Variables/Features
Presentation
Nelson Lee Afanador, Merck; Richard Baumgartner, Merck; Dai Feng, Merck
9:30 AM A Statistical Evaluation of Cardiovascular Measurements Collected via Mobile Health Technology and Traditional Tools
Qinlei Huang, Merck; Lori Mixson, Merck
9:35 AM Method for Evaluating Longitudinal Follow-Up Frequency: Application to Dementia Research
Presentation
Leah Suttner, University of Pennsylvania; Sharon X Xie, University of Pennsylvania
9:40 AM Performance Comparison of Post-Hoc Subgroup Search Algorithms for Clinical Trials
Presentation
Victor Talisa, University of Pittsburgh; (Joyce) Chung-Chou H. Chang, University of Pittsburgh
9:45 AM Relationship Between ORR, PFS and OS in Patients Treated with Anti-PD1/PDL1 Therapies
Presentation
Jiabu Ye, AstraZeneca; Pralay Mukhopadhyay, Astrazeneca; Xiang Ji, AstraZeneca
9:50 AM Real-Time Study Milestone Projection in Clinical Trials with Time-To-Event Endpoints
Presentation
Yanping Liu, Merck & Co.; Gang Jia, Merck & Co.
9:55 AM Sensitivity to Infusion and Blood Draw Time Recording Errors in Pharmacokinetic Modeling
Presentation
Hannah Weeks, Vanderbilt University; Matthew S Shotwell, Vanderbilt University
10:00 AM A Testing Paradigm for Earl Biomedical Research with Many Correlated Tests
Presentation
Robert Montgomery; Jonathan D Mahnken, University of Kansas Medical Center
 
 

309
Tue, 7/31/2018, 8:30 AM - 10:20 AM CC-West 203
Bayesian Modeling in Physical Sciences and Engineering — Contributed Papers
Section on Bayesian Statistical Science
Chair(s): Ivan Jeliazkov, University of California - Irvine
8:35 AM Bayesian Estimation of Pollutant Emissions Using Multiscale Data
Presentation
Cosmin Safta, Sandia National Laboratories; Ray Bambha, Sandia National Laboratories; Hope Michelsen, Sandia National Laboratories
8:50 AM Predicting the Count of Tropical Storms with Bayesian Model Averaging
Presentation
Joyee Ghosh, University of Iowa
9:05 AM Neutron Capture Cross Sections for Unstable Nuclei with Surrogate Reaction Data
Presentation
Kassie Fronczyk, Lawrence Livermore National Laboratory; Jutta Escher, Lawrence Livermore National Laboratory
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
9:50 AM Floor Discussion
 
 

317 * !
Tue, 7/31/2018, 10:30 AM - 12:20 PM CC-West 301
The Future of Spatial and Spatio-Temporal Statistics: Perspectives for the Next Generation of Leaders — Invited Papers
Section on Statistics and the Environment, Section on Bayesian Statistical Science, The International Environmetrics Society
Organizer(s): Christopher K. Wikle, University of Missouri
Chair(s): Christopher K. Wikle, University of Missouri
10:35 AM How Application Will Drive Future Spatial and Spatio-Temporal Research
Presentation
Alan E Gelfand, Duke University
11:00 AM Traversing the Space-Time Cube
Presentation
Noel Cressie, University of Wollongong
11:25 AM Horse for Courses: Empirical Vs Mechanistic Modeling for Spatio-Temporal Point Process Data
Presentation
Peter John Diggle, Lancaster University
11:50 AM Discussant: Jim Zidek, University of British Columbia
12:15 PM Floor Discussion
 
 

319
Tue, 7/31/2018, 10:30 AM - 12:20 PM CC-West 120
Highlights from Bayesian Analysis — Invited Papers
Section on Bayesian Statistical Science, International Society for Bayesian Analysis (ISBA)
Organizer(s): Bruno Sanso, University of California Santa Cruz
Chair(s): Murali Haran, Penn State University
10:35 AM Bayesian Spectral Modeling for Multivariate Spatial Distributions of Elemental Concentrations in Soil
Presentation
Maria Antonia Terres, The Climate Corporation; Montserrat Fuentes, Virginia Commonwealth University; Dean Hesterberg, North Carolina State University; Matthew Polizzotto, North Carolina State University
11:00 AM Highlights from Bayesian Analysis
Presentation
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
11:25 AM Variational Hamiltonian Monte Carlo via Score Matching
Cheng Zhang, Fred Hutchinson Cancer Research Center
11:50 AM Sequential Bayesian Analysis of Multivariate Count Data
Presentation
Tevfik Aktekin , University of New Hampshire; Nick Polson, University of Chicago ; Refik Soyer , George Washington University
12:15 PM Floor Discussion
 
 

325 * !
Tue, 7/31/2018, 10:30 AM - 12:20 PM CC-West 110
Bayesian Methods for Policy Research — Invited Papers
Health Policy Statistics Section, Statistics and Public Policy, Section on Bayesian Statistical Science
Organizer(s): Jonathan Gellar, Mathematica Policy Research
Chair(s): Jonathan Gellar, Mathematica Policy Research
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
10:55 AM Uncertainty in the Design Stage of Observational Studies
Presentation
Matthew Cefalu, RAND Corporation; Corwin Zigler, Harvard T.H. Chan School of Public Health
11:15 AM Evaluating Power Plant Regulations with Methods for Causal Inference on Bipartite Networks with Interference
Presentation
Fabrizia Mealli, University of Florence; Corwin Zigler, Harvard T.H. Chan School of Public Health; Laura Forastiere, University of Florence
11:35 AM Plausible Priors Precede Persuasive Posteriors
Mariel Finucane, Mathematica Policy Research
11:55 AM Discussant: Jennifer L Hill, New York University
12:15 PM Floor Discussion
 
 

330 * !
Tue, 7/31/2018, 10:30 AM - 12:20 PM CC-East 19
Bayesian Analysis of Latent Variable Models in Economics — Topic Contributed Papers
Business and Economic Statistics Section, Section on Bayesian Statistical Science, International Society for Bayesian Analysis (ISBA)
Organizer(s): Angela Vossmeyer, Claremont McKenna College
Chair(s): Angela Vossmeyer, Claremont McKenna College
10:35 AM Testing Axioms of Stochastic Discrete Choice Using Population Choice Probabilities
Presentation
William McCausland, Universite De Montreal; Anthony Marley, University of Victoria; Clintin Davis-Stober, University of Missouri
10:55 AM Integrated Analysis of the Life-Cycle Interactions Between Health and Socioeconomic Status
Ivan Jeliazkov, University of California - Irvine; Angela Vossmeyer, Claremont McKenna College
11:15 AM Learning-Based Inflation Expectations in an Unobserved Components Model
Srikanth Ramamurthy, Loyola University Maryland
11:35 AM Flexible Bayesian Quantile Regression in Ordinal Models
Mohammad Arshad Rahman, Indian Institute of Technology Kanpur; Shubham Karnawat, Credit Suisse
11:55 AM Floor Discussion
 
 

368
Tue, 7/31/2018, 11:35 AM - 12:20 PM CC-West Hall B
SPEED: Statistics for Biopharmaceutical Studies — Contributed Poster Presentations
Biopharmaceutical Section, Section on Bayesian Statistical Science
Chair(s): Paul McNicholas, McMaster University
Oral Presentations for this session.
21: Probabilistic Modeling of Sleep and Awake States in Alzheimer's Disease
Cici Bauer, Pfizer, Inc; Charmaine Demanuele, Pfizer, Inc. ; Dmitri Volfson, Pfizer
22: Integrative Statistical Analysis Pipeline for RNA-Seq and NanoString with Application to Gene Expression Data of Cancer Patients
Jeea Choi, Novartis Pharmaceuticals; Catarina D. Campbell, Novartis Institutes for BioMedical Research; Xiaoshan Wang, Novartis Pharmaceuticals; He Wei, Novartis Pharmaceuticals; Robinson Douglas, Novartis Pharmaceuticals; Stephane Wong, Novartis Pharmaceuticals; Bin Fu, Novartis Pharmaceuticals; Rebecca Leary, Novartis Institutes for BioMedical Research; Kavitha Venkatesan, Novartis Institutes for BioMedical Research; Ying A Wang, Novartis Pharmaceuticals
23: Bridging Information Between Dose-Response Curves Across Populations in Early Phase Clinical Trials
Moreno Ursino, Inserm DR PA 6
24: A Simultaneous PK/PD Model for Muscle Relaxant Using Muscle Twitch Counts
Elizabeth Sigworth; Matthew S Shotwell, Vanderbilt University
25: STEPDOWN TESTING PROCEDURES for DOSE FINDING STUDY with ADAPTIVE DESIGN
Gang Jia, Merck & Co.
26: Conditional Power Calculation for the Interim Monitoring of Cluster-Randomized Trials with Interval-Censored Endpoints
Kaitlyn Cook, Harvard University; Rui Wang, Harvard Pilgrim HealthCare Institute
27: Explore Modified Organ Dysfunction Score System to Improve the Prediction of Survival
Grace Zhang, GSK
28: Discovering Biomarkers Jointly Modeled with Multiple Efficacy Variables in Early Phase Clinical Trials
Danni Yu, Eli Lilly and Company
29: Extended Rank Tests for Analyzing Recurrent Event Data
Qiang Zhao; Mark Chang, Veristat; Michael LaValley, Boston University; Joseph M. Massaro, Boston University; Bin Zhang, Seqirus; Kathryn Lunetta, Boston University
30: A Study in the Use of Unsupervised Random Forest in the Analysis of Data Sets Composed of Categorical Variables/Features
Nelson Lee Afanador, Merck; Richard Baumgartner, Merck; Dai Feng, Merck
31: A Statistical Evaluation of Cardiovascular Measurements Collected via Mobile Health Technology and Traditional Tools
Qinlei Huang, Merck; Lori Mixson, Merck
32: Method for Evaluating Longitudinal Follow-Up Frequency: Application to Dementia Research
Leah Suttner, University of Pennsylvania; Sharon X Xie, University of Pennsylvania
33: Performance Comparison of Post-Hoc Subgroup Search Algorithms for Clinical Trials
Victor Talisa, University of Pittsburgh; (Joyce) Chung-Chou H. Chang, University of Pittsburgh
34: Relationship Between ORR, PFS and OS in Patients Treated with Anti-PD1/PDL1 Therapies
Jiabu Ye, AstraZeneca; Pralay Mukhopadhyay, Astrazeneca; Xiang Ji, AstraZeneca
35: Real-Time Study Milestone Projection in Clinical Trials with Time-To-Event Endpoints
Yanping Liu, Merck & Co.; Gang Jia, Merck & Co.
36: Sensitivity to Infusion and Blood Draw Time Recording Errors in Pharmacokinetic Modeling
Hannah Weeks, Vanderbilt University; Matthew S Shotwell, Vanderbilt University
37: A Testing Paradigm for Earl Biomedical Research with Many Correlated Tests
Robert Montgomery; Jonathan D Mahnken, University of Kansas Medical Center
Oral Presentations for this session.
 
 

400
Tue, 7/31/2018, 2:00 PM - 3:50 PM CC-West 217
Recent Advances in Bayesian Computation and Modeling of High-Dimensional Multivariate Data — Topic Contributed Papers
Section on Bayesian Statistical Science
Organizer(s): Michael Stanley Smith, University of Melbourne
Chair(s): Stan Altan
2:05 PM Gaussian Variational Approximation for High-Dimensional State Space Models
Presentation
Robert Kohn, Univ of New South Wales; Matias Quiroz , University of New South wales ; David J Nott, National University of Singapore
2:25 PM Bayesian Inference of Spreading Processes on Networks
Presentation
Antonietta Mira, Università della Svizzera italiana; Ritabrata Dutta, Università della Svizzera italiana; Jukka-Pekka Onnela, Harvard T. H. Chan School of Public Health
2:45 PM Implicit Copulas from Bayesian Regularized Regression Smoothers
Presentation
Nadja Klein, University of Melbourne; Michael Stanley Smith, University of Melbourne
3:05 PM Variational Bayes Estimation of Time Series Copulas for Multivariate Ordinal and Mixed Data
Presentation
Michael Stanley Smith, University of Melbourne; Ruben Loaiza-Maya, Unviersity of Melbourne
3:25 PM Efficiently Combining Pseudo Marginal and Particle Gibbs Sampling
David Gunawan, University of New South Wales; Christopher Carter, University of New South Wales; Robert Kohn, Univ of New South Wales
3:45 PM Floor Discussion
 
 

419
Tue, 7/31/2018, 2:00 PM - 3:50 PM CC-West 214
Bayesian Computation and Spatial Modeling — Contributed Papers
Section on Bayesian Statistical Science, Survey Research Methods Section
Chair(s): Geng Chen, GlaxoSmithKline
2:05 PM Bayesian Dimension and Variable Selection for Model-Based Clustering
Presentation
Love Tanzy, University of Rochester Medical Center; Kyra Singh, Google, Inc.
2:20 PM Bayesian Spatial Clustering with Particle Optimization
Presentation
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
2:35 PM A New Diagnostic for MCMC Output Analysis
Presentation
Nathan Lane Robertson, University of California, Riverside; James Flegal, University of California, Riverside
2:50 PM Fully Bayesian Analysis of Hierarchical Count Regression Models
Presentation
Jarad Niemi, Iowa State University; William Landau, Eli Lilly and Company; Dan Nettleton, Iowa State University
3:05 PM Mapping Geographic Variations in Teen Birth Rates in Small Areas
Presentation
Diba Khan, CDC; Brady Hamilton, CDC/NCHS; Yulei He, CDC/NCHS
3:20 PM Bayesian Small Area Estimation of Multinomial Outcomes
David R Judkins, Abt Associates; Stas Kolenikov, Abt Associates; Raphael Nishimura, Abt Associates
3:35 PM Hierarchical Gaussian Processes for Spatially Dependent Model Selection
Presentation
James Fry, Virginia Tech; Scotland Leman, Virginia Tech
 
 

216829
Tue, 7/31/2018, 5:30 PM - 7:30 PM Off Site
Section on Bayesian Statistical Science Business Meeting and Mixer — Other Cmte/Business
Section on Bayesian Statistical Science
Chair(s): Merlise Clyde, Duke University
 
 

470 !
Wed, 8/1/2018, 8:30 AM - 10:20 AM CC-East 17
Recent Theoretical Advancements for MCMC Algorithms — Topic Contributed Papers
Section on Bayesian Statistical Science, International Society for Bayesian Analysis (ISBA)
Organizer(s): James Flegal, University of California, Riverside
Chair(s): Galin Jones, University of Minnesota
8:35 AM Convergence Complexity Analysis of Albert and Chib's Algorithm
Presentation
Qian Qin, University of Florida; James P. Hobert, University of Florida
8:55 AM MCMC for High-Dimensional Bayesian Regression
Presentation
Dootika Vats
9:15 AM Multivariate Output Analysis for Markov Chain Monte Carlo
James Flegal, University of California, Riverside
9:35 AM Selection of Proposal Distributions for Multiple Importance Sampling
Presentation
Vivekananda Roy, Iowa State University; Evangelos Evangelou, University of Bath
9:55 AM Floor Discussion
 
 

477
Wed, 8/1/2018, 8:30 AM - 10:20 AM CC-West 213
SPEED: Bayesian Methods and Applications in the Life and Social Sciences — Contributed Speed
Section on Bayesian Statistical Science, ENAR
Chair(s): Leontine Alkema, University of Massachusetts Amherst
Poster Presentations for this session.
8:35 AM Simulation-Based Bayesian Optimal Design for Ice Sheet Borehole Experiments
Presentation
Xun Huan, Sandia National Labs/California; Andrew D. Davis, Massachusetts Institute of Technology
8:40 AM A Bayesian Meta-Analysis to Adjust Diagnostics Tests for Trend Analysis of Clostridium Difficile Infection in the Emerging Infections Program, U. S
Presentation
Yi Mu, Centers for Disease Control and Prevention
8:45 AM Blocking Collapsed Gibbs Sampler for Latent Dirichlet Allocation Models
Presentation
Xin Zhang, Pfizer (China) Research and Development Co., Ltd.; Scott Sisson, University of New South Wales
8:50 AM Dirichlet Process Clustering for the Prediction of Housing Prices
Presentation
Matt Slifko, Virginia Tech; Scotland Leman, Virginia Tech; David Bieri, Virginia Tech
8:55 AM A Novel Bayesian PK/PD Model for Synergy: Challenges and Opportunities for Sequential Knowledge Integration
Presentation
Fabiola La Gamba; Tom Jacobs, Janssen R&D; Helena Geys, Janssen R&D; Christel Faes, Hasselt University
9:00 AM A Multivariate Probit Model for Learning Trajectories with Application to Classroom Assessment
Presentation
Yinghan Chen, University of Nevada, Reno; Steven Culpepper, University of Illinois at Urbana-Champaign
9:05 AM Identifying and Clustering Stable and Dynamic CpG Sites via Bayesian Analysis
Presentation
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
9:10 AM Bayesian Spatial Quantile Regression for Areal Count Data, with Application on Substitute Care Placements in Texas
Presentation
Clay King, Colorado Mesa University; Joon Jin Song, Baylor University
9:15 AM Variable Selection and Cluster Identification Using Mixture of Regression Trees
Emanuele Mazzola, Dana-Farber Cancer Institute; Mahlet Tadesse, Georgetown University; Giovanni Parmigiani , Harvard T.H. Chan School of Public Health / Dana-Farber Cancer Institute
9:20 AM Calibrating a Stochastic Agent Based Model Using Quantile-Based Emulation
Presentation
Arindam Fadikar, Virginia Tech; David Higdon, Virginia Tech
9:30 AM 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
9:35 AM 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
9:40 AM A Variational Bayes Approach to Clustered Latent Preference Models for Directed Network Data
Presentation
Jaron Lee, Australian National University
9:45 AM Bayesian Adaptive Design of Phase 2 Dose-Finding Study
Presentation
Tanya Granston, CTI BioPharma Corp.; Huafeng Zhou, CTI BioPharma Corp.; Lixia Wang, CTI BioPharma Corp.
9:50 AM Bayesian Analysis of High-Dimensional Point Pattern Data Sets Using Latent Multivariate Log-Gamma Random Vectors
Heli Gao, Florida State University
9:55 AM One Direction? On the Modeling of Circular Data Using Projected Normal Distributions
Presentation
Jolien Cremers, Utrecht University; Irene Klugkist, Utrecht University
10:05 AM Bayesian Analysis of Unrelated Question Design for Correlated Sensitive Questions from Small Areas
Presentation
Yuan Yu
 
 

485
Wed, 8/1/2018, 8:30 AM - 10:20 AM CC-East 19
Bayesian Latent Variable Methods for Life Sciences — Contributed Papers
Section on Bayesian Statistical Science
Chair(s): Dilli Bhatta, University of South Carolina Upstate
8:35 AM Bayesian Latent Class Models for Identifying Biomarkers in Circadian Patterns
Presentation
Sung Duk Kim, National Cancer Institute; Paul S Albert, National Cancer Institute
8:50 AM Generalized Bayesian Factor Analysis for Integrative Clustering with Application to Multi-Modal Omics Data
Presentation
Eun Jeong Min, University of Pennsylvania; Changgee Chang, University of Pennsylvania; Qi Long, University of Pennsylvania
9:05 AM A Latent Bayesian Classification Model to Predict Kidney Obstruction Based on Renography and Expert Ratings
Presentation
Changgee Chang, University of Pennsylvania; Jeong Hoon Jang, Emory University; Amita Manatunga, Emory University; Qi Long, University of Pennsylvania
9:35 AM A Bayesian Hierarchical Change Point Model with Parameter Constraints
Presentation
Hong Li, Medical University of South Carolina; Brian Neelon, Medical University of South Carolina
9:50 AM A Nonparametric Bayesian Model for Single-Cell Variant Calling
Presentation
Patrick Flaherty, University of Massachusetts, Amherst
10:05 AM Efficient MCMC for Spatial Population Modeling
Daniel B. Turek, Williams College
 
 

507 * !
Wed, 8/1/2018, 10:30 AM - 12:20 PM CC-East 14
Bayesian Data Science and Statistical Science — Topic Contributed Papers
Section on Bayesian Statistical Science, International Society for Bayesian Analysis (ISBA), Section on Statistical Learning and Data Science, SSC
Organizer(s): Tamara Broderick, Massachusetts Institute of Technology
Chair(s): Rajesh Ranganath, NYU Courant Institute of Mathematical Science
10:35 AM Polynomial Approximate Sufficient Statistics for Scalable Bayesian Inference
Presentation
Tamara Broderick, Massachusetts Institute of Technology
10:55 AM Robust Clustering Using Power Posteriors: Calibration and Inference
Presentation
Jeffrey Miller, Harvard School of Public Health; David B Dunson, Duke University
11:15 AM Inferring Social Structure from Continuous-Time Interaction Data
Bailey Fosdick, Colorado State University; Wesley Lee, University of Washington; Tyler McCormick, University of Washington
11:35 AM Probabilistic Programming with Non-Parametric Bayesian Model Discovery in BayesDB
Presentation
Vikash Mansinghka; Feras Saad, MIT
11:55 AM Discussant: Nicholas Foti, University of Washington
12:15 PM Floor Discussion
 
 

526
Wed, 8/1/2018, 10:30 AM - 12:20 PM CC-East 17
Bayesian Clustering and Variable Selection — Contributed Papers
Section on Bayesian Statistical Science
Chair(s): Mike Henderson
10:35 AM Learning the Number of Components and Data Clusters in Bayesian Finite Mixture Models
Presentation
Bettina Grün, Johannes Kepler Universität; Gertraud Malsiner-Walli, Wirtschaftsuniversität Wien; Sylvia Frühwirth-Schnatter, Wirtschaftsuniversität Wien
11:05 AM Spike-And-Slab Lasso Biclustering
Gemma Moran, Wharton School of Business; Veronika Rockova, University of Chicago; Edward George, Wharton, University of Pennsylvania
11:20 AM A Bayesian Method for Variable Screening
Presentation
Somak Dutta, Iowa State University; Vivekananda Roy, Iowa State University
11:35 AM Nonparametric Mixture Modeling on Constrained Spaces
Presentation
Putu Ayu Sudyanti, Purdue; Vinayak P Rao, Purdue University
11:50 AM Bayesian Variable Selection Using Spike and Slab Prior with Application to High-Dimensional EEG Data by Local Modeling
Presentation
Shariq Mohammed, University of Connecticut; Dipak Kumar Dey, University of Connecticut; Yuping Zhang, University of Connecticut
12:05 PM Bayesian Variable Selection for Multi-Outcome Models Through Shared Shrinkage
Presentation
Debamita Kundu, University of Louisville; Jeremy Gaskins, University of Louisville; Ritendranath Mitra, University of Louisville
 
 

539
Wed, 8/1/2018, 11:35 AM - 12:20 PM CC-West Hall B
SPEED: Bayesian Methods and Applications in the Life and Social Sciences — Contributed Poster Presentations
Section on Bayesian Statistical Science, ENAR
Chair(s): Paul McNicholas, McMaster University
Oral Presentations for this session.
1: Simulation-Based Bayesian Optimal Design for Ice Sheet Borehole Experiments
Xun Huan, Sandia National Labs/California; Andrew D. Davis, Massachusetts Institute of Technology
2: 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
3: Blocking Collapsed Gibbs Sampler for Latent Dirichlet Allocation Models
Xin Zhang, Pfizer (China) Research and Development Co., Ltd.; Scott Sisson, University of New South Wales
4: Dirichlet Process Clustering for the Prediction of Housing Prices
Matt Slifko, Virginia Tech; Scotland Leman, Virginia Tech; David Bieri, Virginia Tech
5: 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
6: A Multivariate Probit Model for Learning Trajectories with Application to Classroom Assessment
Yinghan Chen, University of Nevada, Reno; Steven Culpepper, University of Illinois at Urbana-Champaign
7: 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
8: 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: Variable Selection and Cluster Identification Using Mixture of Regression Trees
Emanuele Mazzola, Dana-Farber Cancer Institute; Mahlet Tadesse, Georgetown University; Giovanni Parmigiani , Harvard T.H. Chan School of Public Health / Dana-Farber Cancer Institute
10: Calibrating a Stochastic Agent Based Model Using Quantile-Based Emulation
Arindam Fadikar, Virginia Tech; David Higdon, Virginia Tech
11: 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
12: 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
13: A Variational Bayes Approach to Clustered Latent Preference Models for Directed Network Data
Jaron Lee, Australian National University
14: Bayesian Adaptive Design of Phase 2 Dose-Finding Study
Tanya Granston, CTI BioPharma Corp.; Huafeng Zhou, CTI BioPharma Corp.; Lixia Wang, CTI BioPharma Corp.
15: Bayesian Analysis of High-Dimensional Point Pattern Data Sets Using Latent Multivariate Log-Gamma Random Vectors
Heli Gao, Florida State University
16: One Direction? On the Modeling of Circular Data Using Projected Normal Distributions
Jolien Cremers, Utrecht University; Irene Klugkist, Utrecht University
18: Bayesian Analysis of Unrelated Question Design for Correlated Sensitive Questions from Small Areas
Yuan Yu
Oral Presentations for this session.
 
 

561 * !
Wed, 8/1/2018, 2:00 PM - 3:50 PM CC-West 217
Hierarchical Bayes in a Hierarchical Universe — Invited Papers
Section on Bayesian Statistical Science, Astrostatistics Special Interest Group, Section on Physical and Engineering Sciences
Organizer(s): Yen-Chi Chen, University of Washington; Gwendolyn Marie Eadie, University of Washington
Chair(s): Yen-Chi Chen, University of Washington
2:05 PM The Scientific Context of Astrostatistics: An Overview of the Hierarchical Universe
Presentation
Gwendolyn Marie Eadie, University of Washington
2:25 PM Astrophysical Deconvolution When the Convolution Function Is Imprecise
David A van Dyk, Imperial College London
2:45 PM Insights into Exoplanet Compositions from Hierarchical Bayesian Modeling
Presentation
Angie Wolfgang, Pennsylvania State University; Eric D. Lopez, NASA Goddard; Anirban Mondal, Case Western Reserve University
3:05 PM Hierarchical Bayesian Models for Supernovae and Cosmology
Kaisey Stephen Mandel, University of Cambridge
3:25 PM Hierarchical Bayes in High Energy Astrophysics
Aneta Siemiginowska, Harvard-Smithsonian Center for Astrophysics
3:45 PM Floor Discussion
 
 

573 * !
Wed, 8/1/2018, 2:00 PM - 3:50 PM CC-West 120
Design of Experiments for Stochastic Process Models — Topic Contributed Papers
Royal Statistical Society, Section on Bayesian Statistical Science, Quality and Productivity Section
Organizer(s): James McGree
Chair(s): David Woods, University of Southampton
2:05 PM Efficient Construction of Bayes Optimal Designs for Stochastic Process Models
Presentation
Richard Boys, Newcastle University
2:25 PM Bayesian Design for Intractable Models
Presentation
Antony Overstall, University of Southampton
2:45 PM Developments of the Synthetic Likelihood Approach for Bayesian Design for Models with Intractable Likelihoods
James McGree
3:05 PM Optimal Bayesian Design for Models with Intractable Likelihoods via Machine Learning Methods
Presentation
Christopher C Drovandi, Queensland University of Technology; Markus Hainy, QUT
3:25 PM Optimal Design for Queueing Systems: Maximal Information by Appropriate Measurement on Queues
Ben Parker, University of Southampton
3:45 PM Floor Discussion
 
 

601 * !
Thu, 8/2/2018, 8:30 AM - 10:20 AM CC-West 122
Prior Specifications for Finite Bayesian Mixture Models — Invited Papers
International Society for Bayesian Analysis (ISBA), Section on Bayesian Statistical Science
Organizer(s): Mario Peruggia, The Ohio State University
Chair(s): Mario Peruggia, The Ohio State University
8:35 AM Jeffreys Priors and Alternative Noninformative Solutions for Location-Scale Mixtures
Presentation
Christian Robert, Universite Paris-Dauphine; Clara Grazian, University of Oxford
9:00 AM Anchored Bayesian Gaussian Mixture Models
Presentation
Deborah Kunkel, The Ohio State University; Mario Peruggia, The Ohio State University
9:25 AM Heterogeneous Reciprocal Graphical Models
Yang Ni, UT Austin; Peter Müller, University of Texas Austin; Yitan Zhu, NorthShore University HealthSystem; Yuan Ji, NorthShore Univ. HealthSystem / The University of Chicago
9:50 AM Discussant: Bettina Grün, Johannes Kepler Universität
10:15 AM Floor Discussion
 
 

611 !
Thu, 8/2/2018, 8:30 AM - 10:20 AM CC-West 203
Nonparametric Priors for Exchangeable Data and Beyond — Topic Contributed Papers
Section on Bayesian Statistical Science, IMS, International Society for Bayesian Analysis (ISBA)
Organizer(s): Igor Pruenster, Bocconi University
Chair(s): Igor Pruenster, Bocconi University
8:35 AM Epsilon-Approximations to the Pitman-Yor Process
Presentation
Pierpaolo De Blasi, University of Turin
8:55 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
9:15 AM Bayesian Analysis of Multiple-Sample Data
Antonio Lijoi, Bocconi University
9:35 AM On Some Applications of Sums of Exchangeable Random Variables
Ramses Mena, Universidad Nacional Autonoma De Mexico
9:55 AM Global Mean-Field Variational Bayes for Density Regression
Presentation
Tommaso Rigon, Bocconi University; Daniele Durante, Bocconi University
10:15 AM Floor Discussion
 
 

634
Thu, 8/2/2018, 8:30 AM - 10:20 AM CC-West 204
Bayesian Methodology — Contributed Papers
Section on Bayesian Statistical Science
Chair(s): Peter Zhang, Otsuka
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
8:50 AM Gaussian Process Selections in Semiparametric Regression for Multi-Pathway Analysis
Jiali Lin, Virginia Tech; Inyoung Kim, Virginia Tech
9:05 AM Bayesian Spectral Analysis of High-Dimensional Time Series
Presentation
Ori Rosen, Univ of Texas at El Paso; Rob Krafty, University of Pittsburgh
9:20 AM Statistical Inference for Interaction Effects in Unreplicated Studies via Bayesian Model Averaging
Presentation
Christopher Franck, Virginia Tech
9:35 AM Bayesian Uncertainty Quantification for CO2 Retrieval from Satellite Remote Sensing Data
Presentation
Anirban Mondal, Case Western Reserve University; Jonathan Hobbs, Jet Propulsion Laboratory
9:50 AM Floor Discussion
 
 

638
Thu, 8/2/2018, 8:30 AM - 10:20 AM CC-West 205
Bayesian Methods for Time-To-Event and Frailty — Contributed Papers
Section on Bayesian Statistical Science
Chair(s): Y. Samuel Wang, University of Washington
9:05 AM Adjusting for Handling Effects in Microarray Data for Prognostic Biomarker Discovery and Survival Risk Prediction
Ai Ni, Memorial Sloan Kettering Cancer Center; Mengling Liu, New York University; Li-Xuan Qin, Memorial Sloan Kettering Cancer Center
9:20 AM Frailty Model for Time-To-Event Data on a Social Network
Presentation
Fangda Song, The Chinese University of Hong Kong; Jing Chu, University of Michigan; Yingying Wei, The Chinese University of Hong Kong
9:35 AM Floor Discussion
 
 

653 * !
Thu, 8/2/2018, 10:30 AM - 12:20 PM CC-West 213
Advances in Bayesian Nonparametric Modeling and Computation for Complex Data — Topic Contributed Papers
Section on Bayesian Statistical Science, Section on Bayesian Statistical Science, International Society for Bayesian Analysis (ISBA)
Organizer(s): Li Ma, Duke University
Chair(s): Pierpaolo De Blasi, University of Turin
10:35 AM Robustness and Nonparametric Bayesian Methods
Presentation
Steve MacEachern, The Ohio State University
10:55 AM Density estimation via hierarchies of nonparametric priors
Presentation
Igor Pruenster, Bocconi University
11:15 AM Survival Models with Compound Random Measures
Presentation
Fabrizio Leisen, University of Kent
11:35 AM Recursive Bayesian Predictive Distributions
Presentation
Stephen Walker
11:55 AM Floor Discussion
 
 

666
Thu, 8/2/2018, 10:30 AM - 12:20 PM CC-West 214
Bayesian Penalized Regression Models — Contributed Papers
Section on Bayesian Statistical Science
Chair(s): Christopher Franck, Virginia Tech
10:35 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
10:50 AM Bayesian Logistic Regression Model for Sub-Areas
Presentation
Lu Chen, Worcester Polytechnic Institute; Balgobin Nandram, Worcester Polytechnic Institute
11:05 AM Bayesian Analysis with Orthogonal Matrix Parameters
Presentation
Michael Jauch, Duke University; Peter Hoff, Duke University; David B Dunson, Duke University
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
11:50 AM Approximate Bayesian Forecasting
Brendan McCabe, University of Liverpool
12:05 PM Floor Discussion