Name: 2019 Joint Statistical Meetings
Start: 2019-07-27T07:00:00+00:00
End: 2019-08-01
Location: Colorado Convention Center

Legend:
CC = Colorado Convention Center H = Hyatt Regency Denver at Colorado Convention Center
* = applied session ! = JSM meeting theme

Activity Details

20 * !	Sun, 7/28/2019, 2:00 PM - 3:50 PM	CC-708
Bayesian Additive Regression Trees: Making an Impact — Topic Contributed Papers
International Society for Bayesian Analysis (ISBA), Section on Bayesian Statistical Science, Royal Statistical Society
Organizer(s): Rodney Sparapani, Medical College of Wisconsin
Chair(s): Robert McCulloch, Arizona State University
2:05 PM	On Theory for BART Presentation Enakshi Saha, University of Chicago; Veronika Rockova, University of Chicago
2:25 PM	Bayesian Tree Models for Continuous Treatment Effects Jared S Murray, University of Texas at Austin
2:45 PM	XBART: Accelerated Bayesian Additive Regression Trees Presentation P. Richard Hahn, Arizona State University; Jingyu He, Chicago Booth
3:05 PM	Nonparametric Survival Analysis with Dirichlet Processes Mixtures and Heteroskedastic Bayesian Additive Regression Trees Rodney Sparapani, Medical College of Wisconsin; Robert McCulloch, Arizona State University; Matthew Pratola; Brent R. Logan, Medical College of Wisconsin; Prakash Laud, Medical College of Wisconsin
3:25 PM	Adaptive Splitting Bayesian Regression Tree Models for Image Analysis Matthew Pratola; David Higdon, Virginia Tech
3:45 PM	Floor Discussion

32	Sun, 7/28/2019, 2:00 PM - 3:50 PM	CC-106
Statistical Methods in Dose-Finding Studies — Contributed Papers
Biopharmaceutical Section, International Society for Bayesian Analysis (ISBA), Section on Bayesian Statistical Science
Chair(s): Kevin Gan, GlaxoSmithKline
2:05 PM	Flexible Bayesian Semiparametric Designs for Dose-Finding with Multiple Populations Presentation Jianchang Lin, Takeda Pharmaceuticals; Mo Li, Yale University; Rachael Liu, Takeda Pharmaceuticals ; Veronica Bunn, Takeda Pharmaceuticals; Hongyu Zhao, Yale
2:20 PM	Design Consideration in Phase 2 Dose Response Trial in the Presence of Possible Non-Monotonicity -- Comparison of Bayesian Emax and NDLM Model Feng Liu, AstraZeneca; Stephen Walters, University of Sheffield; Steven Julious, University of Sheffield
2:35 PM	Bayesian Hierarchical EMAX Model for Dose-Response in Early Phase Efficacy Clinical Trials Presentation Byron Gajewski, University of Kansas Medical Center, The University of Kansas Cancer; Caitlyn Meinzer, Medical University of South Carolina; Scott Berry, Berry Consultants; Gayland L Rockswold, Hennepin County Medical Center; William G Barsan, University of Michigan; Frederick K Korley, University of Michigan; Renee' H Martin, Medical University of South Carolina
2:50 PM	Bayesian Method Based Dose Escalation in Clinical Trials with Combination Therapy Presentation Shanmei Liao, BeiGene; Theis Lange, University of Copenhagen, section of biostatistics
3:05 PM	A Comparison of the Up-And-Down or Biased Coin Design to the Continual Reassessment Method for Phase I Dose Finding Studies Robert A. Perera, VCU Department of Biostatistics; Roy T Sabo, Virginia Commonwealth University; Adam Sima, Virginia Commonwealth University
3:20 PM	Bayesian Dose-Finding Model with Adaptive Time-To-Event Weight Incorporating Cycle Information for Immuno-Oncology Studies Zhaowei Hua, Alnylam Pharmaceuticals, Inc.; Yutong Li, University of Illinois at Urbana-Champaign; Ying Yuan, Takeda Pharmaceutical Company Ltd ; Dan Zhao, Takeda Pharmaceutical Company Ltd
3:35 PM	Floor Discussion

47 !	Sun, 7/28/2019, 4:00 PM - 5:50 PM	CC-708
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): Bruno Sanso, University of California Santa Cruz
4:05 PM	Bayesian Method for Causal Inference in Spatially Correlated Multivariate Time Series Presentation Bo Ning, Yale University
4:30 PM	Big Data Bayesian Linear Regression and Variable Selection by Normal-Inverse-Gamma Summation Presentation Hang Qian, The MathWorks, Inc.
4:55 PM	Bayesian Analysis of Dynamic Linear Topic Models Presentation Christopher Glynn, University of New Hampshire; Surya Tokdar, Duke University; David Banks, SAMSI/Duke University; Brian Howard, Sciome, LLC
5:20 PM	Variational Message Passing for Elaborate Response Regression Models Presentation Matt Paul Wand, University of Technology Sydney; Matt McLean, University of Technology Sydney
5:45 PM	Floor Discussion

67 !	Sun, 7/28/2019, 4:00 PM - 5:50 PM	CC-203
Believable Big Bayes: Large-Scale Bayesian Inference with Finite-Data Guarantees — Topic Contributed Papers
SSC, International Society for Bayesian Analysis (ISBA), Section on Bayesian Statistical Science, Section on Statistical Computing
Organizer(s): Trevor Campbell, University of British Columbia
Chair(s): Tamara Broderick, Massachusetts Institute of Technology
4:05 PM	Variational Inference You Can Trust: a New Approach to Boosting Trevor Campbell, University of British Columbia
4:25 PM	A Scalable, Robust Bayesian Approach to Finding Mutational Signatures in Human Cancer Jonathan Huggins, Harvard School of Public Health
4:45 PM	Detecting Anomalous Structure in Multivariate Data Streams Alexander Fisch, Lancaster University; Idris Eckley, Lancaster University; Paul Fearnhead, Lancaster University
5:05 PM	Diffusion-Stein Sample Quality Measures for Distributions in Finite and Infinite Dimensions Andrew Duncan, Imperial College London
5:25 PM	Generalized Bilinear Models for Bias Correction in Large-Scale Genomics Data Jeffrey Miller, Harvard TH Chan School of Public Health
5:45 PM	Floor Discussion

107 !	Mon, 7/29/2019, 8:30 AM - 10:20 AM	CC-203
The ABC of Making an Impact — Invited Papers
Section on Bayesian Statistical Science, International Society for Bayesian Analysis (ISBA), IMS
Organizer(s): Antonietta Mira, Università della Svizzera italiana and Università dell'Insubria
Chair(s): Christian Robert, Ceremade - Université Paris-Dauphine
8:35 AM	Simulated Annealing ABC (SABC) and Its Application to a Stochastic Solar Dynamo Model Presentation Carlo Albert, Swiss Federal Institute of Aquatic Science and Technology (Eawag)
9:05 AM	ABC and Forests: Where We Are and Where We Are Going Louis Raynal, Alexander Grothendieck Montpellier Institute, University of Montpellier; Alice Cleynen, Alexander Grothendieck Montpellier Institute, University of Montpellier; Jean-Michel Marin, Alexander Grothendieck Montpellier Institute, University of Montpellier
9:35 AM	Loss-Based Bayesian Prediction Presentation David Frazier, Monash University; Gael Martin, Monash University; Ruben Loaiza-Maya, Monash University
10:05 AM	Floor Discussion

146	Mon, 7/29/2019, 10:30 AM - 12:20 PM	CC-605
Scaling up Bayesian Inference for Massive Data Sets — Invited Papers
IMS, International Society for Bayesian Analysis (ISBA), Section on Bayesian Statistical Science
Organizer(s): Trevor Campbell, University of British Columbia; David Dunson, Duke University; Jonathan Huggins, Harvard University
Chair(s): Jonathan Huggins, Harvard University
10:35 AM	Continuous-Time Monte Carlo and Scalable Bayesian Inference Presentation Paul Fearnhead, Lancaster University
11:00 AM	Scalable Gaussian Process Inference with Finite-Data Mean and Variance Guarantees Presentation Tamara Broderick, Massachusetts Institute of Technology
11:25 AM	Gaussian Variational Approximation for High-Dimensional State Space Models Presentation Robert Kohn, University of New South Wales
11:50 AM	Some Applications of Approximate MCMC Presentation Anirban Bhattacharya, TAMU
12:15 PM	Floor Discussion

286 *	Tue, 7/30/2019, 8:30 AM - 10:20 AM	CC-605
Advances in Bayesian Nonparametric Methods and Its Applications — Topic Contributed Papers
Section on Bayesian Statistical Science, International Society for Bayesian Analysis (ISBA)
Organizer(s): Trevor Campbell, University of British Columbia
Chair(s): Brenda Betancourt, University of Florida
8:35 AM	Genomic Variety Estimation via Bayesian Nonparametrics Lorenzo Masoero, Massachusetts Institute of Technology
8:55 AM	Adaptive Bayesian Density Estimation in Sup-Norm Presentation Zacharie Naulet
9:15 AM	A Bayesian Nonparametric View on Count-Min Sketch Presentation Diana Cai, Princeton University; Michael Mitzenmacher, Harvard University; Ryan Adams, Princeton University
9:35 AM	Bayesian Nonparametric Methods for the Experimental Design of Single Cell Studies: From Clustering to Sorting Presentation Bianca Dumitrascu, Princeton University; Federico Ferrari, Duke University; Stefano Favaro, Universita di Torino; Barbara Engelhardt, Princeton University
9:55 AM	Discussant: Felipe Barrientos, Duke University
10:15 AM	Floor Discussion

305 !	Tue, 7/30/2019, 8:30 AM - 10:20 AM	CC-301
Bayesian Modeling and Variable Selection Methods — Contributed Papers
Section on Statistical Computing, International Society for Bayesian Analysis (ISBA), Section on Bayesian Statistical Science
Chair(s): Augustus Jayaraj, Cornell University
8:35 AM	A New Generalized Inverse Gaussian Distribution with Bayesian Estimators Presentation Kenneth R Goward, Central Michigan University; Chin-I Cheng, Central Michigan University; Kahadawala Cooray, Central Michigan University
8:50 AM	Estimating Random Walk Centrality Nirodha Mihirani Epasinghege Dona, University of Manitoba; Brad Johnson, University of Manitoba
9:05 AM	Variable Selection Techniques for Model-Based Clustering of Directional Data Presentation Semhar Michael, South Dakota State University; Damon Bayer, South Dakota State Univesity
9:20 AM	Implicit Regularization via Hadamard Product Parametrization in Linear Regression Peng Zhao, Florida State University; Yun Yang, University of Illinois Urbana-Champaign; Qiao-chu He, Southern University of Science and Technology
9:35 AM	High-Dimensional Controlled Variable Selection for Ordinal Outcomes Presentation Han Fu, The Ohio State University; Kellie Archer, Ohio State University
9:50 AM	Variable Selection for High-Dimensional Nodal Attributes in Social Networks Presentation Jia Wang, Penn State University; Runze Li, Penn State University
10:05 AM	Incomplete High-Dimensional Inverse Covariance Estimation Yunxi Zhang, University of Mississippi Medical Center; Soeun Kim, University of Texas Health Science Center at Houston

334 *	Tue, 7/30/2019, 10:30 AM - 12:20 PM	CC-710
Health Policy Statistics Student Paper Awards — Topic Contributed Papers
Health Policy Statistics Section, International Society for Bayesian Analysis (ISBA), Section on Bayesian Statistical Science
Organizer(s): Roee Gutman, Brown University
Chair(s): Lisa M Lix, University of Manitoba
10:35 AM	The Effect of Bariatric Surgery on Health Care Costs: a Synthetic Control Approach Using Bayesian Structural Time Series Presentation Christoph Kurz, Helmholtz Zentrum Muenchen
10:55 AM	A Latent Class Based Joint Model for Recurrence and Termination with Application to Heart Transplants Zhixing Xu, Florida State University; Debajyoti Sinha, FLORIDA STATE UNIVERSITY; Jonathan R. Bradley, Florida State University
11:15 AM	Posterior Predictive Treatment Assignment Methods for Causal Inference in the Context of Time-Varying Treatments Presentation Shirley Liao
11:35 AM	A Bayesian Difference-In-Differences Framework for Measuring the Impact of Primary Care Redesign on Diabetes Outcomes Presentation James Normington, Univ of Minnesota; Eric Lock, University of Minnesota; Caroline Carlin, University of Minnesota; Kevin Peterson, University of Minnesota; Bradley Carlin, Counterpoint Statistical Consulting, LLC
11:55 AM	A Bayesian Hierarchical Causal Effect Model Accounting for Incomplete Noncompliance Data in Meta-Analysis Jincheng Zhou, University of Minnesota; JIM HODGES, UNIVERSITY OF MINNESOTA; Haitao Chu, University of Minnesota
12:15 PM	Floor Discussion

396 * !	Tue, 7/30/2019, 2:00 PM - 3:50 PM	CC-105
Savage Awards Session — Topic Contributed Papers
International Society for Bayesian Analysis (ISBA), Section on Bayesian Statistical Science
Organizer(s): Joyee Ghosh, The University of Iowa
Chair(s): Michael Daniels, University of Florida
2:05 PM	Bayesian Nonparametric Models for Biomedical Data Analysis Presentation Tianjian Zhou, The University of Chicago; Peter Müller, University of Texas Austin; Yuan Ji, The University of Chicago; Michael Daniels, University of Florida
2:25 PM	Statistical Models for Dependent Trajectories with Application to Animal Movement Henry Scharf, Colorado State University
2:45 PM	Black Box Variational Inference Presentation Rajesh Ranganath, NYU Courant Institute of Mathematical Science
3:05 PM	Geometric Bayes Presentation Andrew Holbrook, UCLA Department of Human Genetics
3:25 PM	Floor Discussion

397 * !	Tue, 7/30/2019, 2:00 PM - 3:50 PM	CC-109
Multiple Aspects of Bayesian Strategies for Variable Selection in Standard and Non-Standard Models — Topic Contributed Papers
Section on Bayesian Statistical Science, International Society for Bayesian Analysis (ISBA), International Indian Statistical Association
Organizer(s): Arnab Kumar Maity, Texas A&M University
Chair(s): Satwik Acharyya, Texas A&M University
2:05 PM	Bayesian Model Selection for Nonparametric Problems Presentation Debdeep Pati, Texas A&M University; Yun Yang, University of Illinois Urbana-Champaign
2:25 PM	Highest Posterior Model Computation and Variable Selection Arnab Kumar Maity, Texas A&M University; Sanjib Basu, University of Illinois at Chicago
2:45 PM	Bayesian Criterion Based Variable Selection: Comparisons and Applications Sanjib Basu, University of Illinois at Chicago; Arnab Kumar Maity, Texas A&M University; Santu Ghosh, Augusta University
3:05 PM	Estimation and Comparison of Conditional Moment Models Siddhartha Chib, Washington University in St. Louis
3:25 PM	Bayesian Individualized Variable Selection Presentation Minsuk Shin, Harvard University; Jun S. Liu, Harvard University
3:45 PM	Floor Discussion

407	Tue, 7/30/2019, 2:00 PM - 3:50 PM	CC-210/212
Novel Methods for Causal Inference in Health Policy — Contributed Papers
Health Policy Statistics Section, International Society for Bayesian Analysis (ISBA), Section on Bayesian Statistical Science
Chair(s): Phillip Schulte, Mayo Clinic
2:05 PM	Estimation of Average Causal Effect in Clustered Data Using Multiple Imputation Recai Yucel, SUNY Albany School of Public Health; Meng Wu, Department of Health, NY State
2:20 PM	Directional Penalties for Optimal Matching in Observational Studies Ruoqi Yu, University of Pennsylvania; Paul Rosenbaum, University of Pennsylvania
2:35 PM	Matching Algorithms for Causal Inference with Multiple Treatments Presentation Anthony D. Scotina, Simmons University; Roee Gutman, Brown University
2:50 PM	Causal Inference Under Interference in Dynamic Therapy Group Studies Susan Paddock, NORC at the University of Chicago; Bing Han, RAND Corporation; Lane Burgette, RAND Corporation
3:05 PM	A Probabilistic Approach to Cost-Effectiveness Analysis with Censored Outcomes Presentation Nicholas Illenberger, University of Pennsylvania; Andrew J. Spieker, Vanderbilt University Medical Center; Nandita Mitra, University of Pennsylvania
3:35 PM	A Simulation Study for the Statistical Performance of Matching Adjusted Indirect Comparison Presentation Fan Wu, Biogen; Xiaoyu Jiang, Biogen; Katherine Riester, Biogen

437 * !	Wed, 7/31/2019, 8:30 AM - 10:20 AM	CC-603
Novel Bayesian Methods and Their Impacts on Scientific Applications — Invited Papers
Section on Bayesian Statistical Science, International Society for Bayesian Analysis (ISBA), International Indian Statistical Association
Organizer(s): Arnab Kumar Maity, Texas A&M University
Chair(s): Arnab Kumar Maity, Texas A&M University
8:35 AM	Bayesian Tensor Regression for Neuroimaging Data Montserrat Fuentes, Virginia Commonwealth University; Hossein Moradi, South Dakota State University
9:00 AM	Integrative Bayesian Models of High-Dimensional Count Data Presentation Marina Vannucci, Rice University
9:25 AM	Data-Driven and Science-Driven Bayesian Methods in Astronomy and Solar Physics David A van Dyk, Imperial College London
9:50 AM	Power Curve Estimation Using Piecewise Logistic Gaussian Processes Presentation Bani Mallick, Texas A&M University
10:15 AM	Floor Discussion

455 !	Wed, 7/31/2019, 8:30 AM - 10:20 AM	CC-502
Recent Advances in Bayesian Computation: Theory and Methods — Topic Contributed Papers
IMS, International Society for Bayesian Analysis (ISBA), Section on Bayesian Statistical Science
Organizer(s): Vivekananda Roy, Iowa State University
Chair(s): Aixin Tan, University of Iowa
8:35 AM	Convergence Complexity Analysis of MCMC Algorithms James Hobert
8:55 AM	Weighted Batch Means Estimators in Markov Chain Monte Carlo Presentation James Flegal, University of California, Riverside
9:15 AM	Convergence Complexity of Gibbs Samplers for Bayesian Vector Autoregressive Processes Presentation Galin Jones, University of Minnesota; Karl Oskar Ekvall, University of Minnesota
9:35 AM	Recent Advances in Bayesian Computation: Theory and Methods Presentation Murali Haran, Penn State University; Jaewoo Park, Penn State University
9:55 AM	Bayesian Registration of Functions with a Gaussian Process Prior Radu Herbei, Ohio State University; Yi Lu, Drew University; Sebastian Kurtek, The Ohio State University
10:15 AM	Floor Discussion

478 * !	Wed, 7/31/2019, 10:30 AM - 12:20 PM	CC-707
Scalable Bayesian Models for Time Series and Dynamic Networks: Making an Impact in Business and Socio-Economic Applications — Invited Papers
Section on Bayesian Statistical Science, International Society for Bayesian Analysis (ISBA), Business and Economic Statistics Section
Organizer(s): Mike West, Duke University
Chair(s): Mike West, Duke University
10:35 AM	Bayesian Forecasting of High-Dimensional Count-Valued Time Series: Massive Data in Consumer Sales Forecasting Presentation 1 Presentation 2 Presentation 3 Lindsay Berry, Duke University; Mike West, Duke University; Paul Helman, 84.51°
11:00 AM	Bayesian Decouple/Recouple Modeling for Large-Scale Dynamic Network Flow Studies Presentation Xi Chen, LinkedIn Corporation; David Banks, SAMSI/Duke University; Mike West, Duke University
11:25 AM	Online Learning and Variable Selection for High-Dimensional Time Series with Simultaneous Graphical Dynamic Linear Models Lutz F Gruber, QuantCo, Inc.; Mike West, Duke University
11:50 AM	A Bayesian Approach to Trajectory-Based Longitudinal Networks, with Application to the European Interbank Market Presentation Antonietta Mira, Università della Svizzera italiana and Università dell'Insubria; Federica Bianchi, Univesità della Svizzera italiana; Stefano Peluso, Cattolica University and Università della Svizzera italiana; Francesco Bartolucci, University of Perugia
12:15 PM	Floor Discussion

541	Wed, 7/31/2019, 2:00 PM - 3:50 PM	CC-504
Recent Progresses in Bayesian Inference in Large Parameter Spaces: Jayanta K. Ghosh Memorial Session — Invited Papers
Memorial, International Indian Statistical Association, International Society for Bayesian Analysis (ISBA)
Organizer(s): Subhashis Ghoshal, North Carolina State University
Chair(s): Malay Ghosh, University of Florida
2:05 PM	Bayesian Sparse Signal Recovery: Gaussian Models and Beyond Jyotishka Datta, University of Arkansas
2:25 PM	Sorted L-One Penalized Estimation Presentation Malgorzata Bogdan, University of Wroclaw
2:45 PM	Leveraging the Order-Dependence of Predictive Recursion for Uncertainty Quantification About a Mixing Density Presentation Ryan Martin, North Carolina State University; Vaidehi Dixit, North Carolina State University
3:05 PM	Extreme Value Analysis with Semiparametric Density Models Presentation Surya Tokdar, Duke University
3:25 PM	Discussant: Bhramar Mukherjee, University of Michigan
3:45 PM	Floor Discussion

545 * !	Wed, 7/31/2019, 2:00 PM - 3:50 PM	CC-607
Towards Perfect and Scalable Distributional Computation — Invited Papers
IMS, International Society for Bayesian Analysis (ISBA), Section on Statistical Computing
Organizer(s): Xiao-Li Meng, Harvard University
Chair(s): David Jones, Texas A&M University
2:05 PM	Exact Estimation with Markov Chain Monte Carlo Presentation Aguemon Yves Atchade, Boston University; Xiao-Li Meng, Harvard University
2:30 PM	The Never-Ending MCMC Revolution: Making Dempster-Shafer Modeling Practical Presentation Ruobin Gong, Rutgers University; Xiao-Li Meng, Harvard University
2:55 PM	Fiducial Selector: Scalable Statistical Inference for High-Dimensional Regression Problems Thomas C. M. Lee, UC Davis; Jan Hannig, UNC Chapel Hill; Randy Lai, U of Maine; Chunzhe Zhang, UC Davis
3:20 PM	Discussant: Keli Liu, Stanford University
3:45 PM	Floor Discussion

563 !	Wed, 7/31/2019, 2:00 PM - 3:50 PM	CC-709
Recent Advances in Bayesian Structure Learning — Topic Contributed Papers
Section on Bayesian Statistical Science, International Society for Bayesian Analysis (ISBA), International Indian Statistical Association
Organizer(s): Jyotishka Datta, University of Arkansas
Chair(s): Daniel Taylor-Rodriguez, Portland State University
2:05 PM	Nonparametric Graphical Model for Counts Presentation Arkaprava Roy, Duke University; David Dunson, Duke University
2:25 PM	Bayesian Structure Learning in Graphical Models Using Shrinkage Priors Presentation Sayantan Banerjee, Indian Institute of Management Indore
2:45 PM	Recent Advances in Bayesian Structure Learning Nilabja Guha
3:05 PM	Bayesian Inference in Nonparanormal Graphical Models Presentation Jami Mulgrave; Subhashis Ghoshal, North Carolina State University
3:25 PM	Bayesian Semiparametric Functional Mixed Models Abhra Sarkar, The University of Texas at Austin; Giorgio Paulon, The University of Texas at Austin; Bharath Chandrsekaran, University of Pittsburg; Fernando Llanos, University of Pittsburgh
3:45 PM	Floor Discussion

578	Wed, 7/31/2019, 2:00 PM - 3:50 PM	CC-502
Bayesian Methodologies in Sports Statistics — Contributed Papers
Section on Statistics in Sports, International Society for Bayesian Analysis (ISBA), Section on Bayesian Statistical Science
Chair(s): Stephanie Kovalchik, Tennis Australia/Victoria University
2:05 PM	Bayesian Prediction of Metrics in Professional Sports Richard Warr, Brigham Young University; Gil Fellingham, Brigham Young University
2:20 PM	Model Based Estimation of Baseball Batting Metrics Lahiru Wickramasinghe, University of Manitoba; Alexandre Leblanc, University of Manitoba; Saman Muthukumarana, University of Manitoba
2:35 PM	Forecasting Seasonal Batting Outcomes via a Mixed Effects Multinomial-Logistic-Normal Model Presentation Eric A. E. Gerber, Purdue University; Bruce A. Craig, Purdue University
2:50 PM	Probabilistic Forecasts for Chess Player Elo Ratings Presentation Bradford Westgate, Alma College
3:05 PM	Bayesian Hierarchical Modeling of Field Goals in the NFL Sudipto Banerjee, UCLA; Jay Xu, University of California, Los Angeles
3:20 PM	Ranking NCAA Women's Volleyball Teams Accounting for Scoring Inequities Presentation Scott Grimshaw, Brigham Young University; Gil Fellingham, Brigham Young University
3:35 PM	A Bayesian Model for Predicting Point Differentials in Sports Using Ratios Andrew Swift, University of Nebraska at Omaha; Andrew Tew, University of Nebraska at Omaha

645 * !	Thu, 8/1/2019, 10:30 AM - 12:20 PM	CC-107
Bayesian Optimization — Topic Contributed Papers
Section on Bayesian Statistical Science, Section on Statistical Computing, International Society for Bayesian Analysis (ISBA)
Organizer(s): Tony Pourmohamad, Genentech
Chair(s): Jasper Snoek, Google Brain
10:35 AM	The Statistical Filter Approach to Constrained Optimization Herbert Lee, Univ of California, Santa Cruz
10:55 AM	Bayesian Optimization via Barrier Functions Presentation Tony Pourmohamad, Genentech; Herbert Lee, Univ of California, Santa Cruz
11:15 AM	Bayesian Optimization for Policy Search via Online-Offline Experimentation Eytan Bakshy, Facebook; Benjamin Letham, Facebook
11:35 AM	Automating Bayesian Optimization with Bayesian Optimization Presentation Roman Garnett, Washington Univeristy in St. Louis; Gustavo Malkomes, Washington University in St. Louis
11:55 AM	Bayesian Optimization for Robotics Presentation Roberto Calandra, Facebook AI Research
12:15 PM	Floor Discussion

649 !	Thu, 8/1/2019, 10:30 AM - 12:20 PM	CC-108
Recent Advances in Spatial and Spatial-Temporal Methods — Topic Contributed Papers
Section on Bayesian Statistical Science, International Society for Bayesian Analysis (ISBA), Section on Statistics in Epidemiology, Section on Teaching of Statistics in the Health Sciences
Organizer(s): Cici Bauer, UTHealth
Chair(s): Caroline P Groth, Feinberg School of Medicine, Northwestern University
10:35 AM	Using Spatiotemporal Models to Generate Synthetic Data for Public Use Presentation Harrison Quick, Drexel University; Lance Waller, Emory University
10:55 AM	A Spatially Varying Change Points Model for Monitoring Glaucoma Progression Using Visual Field Data Joshua Warren, Yale University; Samuel Berchuck, Duke University; Jean-Claude Mwanza, UNC Chapel Hill
11:15 AM	Spatio-Temporal Model to Predict Extreme Heat Events at Unobserved Locations Erin Schliep, University of Missouri; Alan E Gelfand, Duke University
11:35 AM	Stratified Space–time Infectious Disease Modeling, with an Application to Hand, Foot and Mouth Disease in China Cici Bauer, UTHealth
11:55 AM	Assessing Environmental Factors of Histoplasmosis: a Spatio-Temporal Analysis Kimberly Kaufeld, Los Alamos National Laboratory
12:15 PM	Floor Discussion

JSM 2019 Online Program

Activity Details

American Statistical Association