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

219010	Sun, 7/28/2019, 7:30 AM - 3:30 PM	H-Capitol Ballroom 2
NISS Writing Workshop Day 1 — Other ICW
NISS/ASA Writing Workshop, ENAR, International Chinese Statistical Association, International Indian Statistical Association, IMS, Korean International Statistical Society
Organizer(s): Randy Freret, NISS

81	Sun, 7/28/2019, 4:00 PM - 5:50 PM	CC-701
Regression, Distribution and Inference — Contributed Papers
International Indian Statistical Association
Chair(s): Saonli Basu, University of Minnesota, Biostatistics SPH
4:05 PM	Cholesky Normal Distribution in the Space of Symmetric Positive- Definite Matrices Presentation Benoit Ahanda, Texas Tech University/Bradley University
4:20 PM	On Two Normal Mixture Models of the Classical Method of Moments Ray-Shine Lee, Shine-In Quantitative Research
4:35 PM	Tolerance Limits for Normal Mixtures Shin-Fu Tsai, National Taiwan University
4:50 PM	General Linear Regression Model Approach to Estimate Location and Scale Parameters of Burr Type III Distribution Woosuk Kim, Slippery Rock University
5:05 PM	Robust Fitting and Smoothing Parameter Selection for GAMLSS William Aeberhard, Stevens Institute of Technology; Eva Cantoni, University of Geneva; Giampiero Marra, University College London; Rosalba Radice, City, University of London
5:20 PM	Uniformly Consistently Estimating the Proportion of False Null Hypotheses via Lebesgue-Stieltjes Integral Equations Presentation Xiongzhi Chen, Washington State University
5:35 PM	Factor and Idiosyncratic Empirical Processes Jiangyan Wang, Nanjing Audit University; Xinbing Kong, Nanjing Audit University; Jinbao Xing, Soochow University; Chao Xu, Nanjing Audit University; Chao Ying, Soochow University

156 * !	Mon, 7/29/2019, 10:30 AM - 12:20 PM	CC-709
Statistical Interactions – Making an Impact in Health Science — Topic Contributed Papers
Section on Risk Analysis, International Indian Statistical Association, Section on Statistics in Epidemiology, Section on Statistics in Genomics and Genetics
Organizer(s): Jaya M Satagopan, Memorial Sloan Kettering Cancer Center
Chair(s): Jaya M Satagopan, Memorial Sloan Kettering Cancer Center
10:35 AM	Identification of Gene-Gene and Gene-Environment Interactions in Genetic Association Studies Presentation Charles Kooperberg, Fred Hutchinson Cancer Research Center
10:55 AM	Detection of Set-Based Gene-Environment Interactions for Substance Use Disorders Presentation Saonli Basu, University of Minnesota, Biostatistics SPH; Brandon Coombes, Mayo Clinic; Matt McGue, University of Minnesota
11:15 AM	Test for Gene (G)-Environment (E) Interaction Based on the Trend Effect of Genotype Under an Additive Risk Model Using an Empirical Bayes-Type Shrinkage Estimator Summer Han, Stanford University; Matthieu de Rochemonteix, Stanford University; Nilanjan Chatterjee, Johns Hopkins University
11:35 AM	Statistical Interaction and Mendelian Randomization: What They Have in Common? Presentation Mariza de Andrade, Mayo Clinic
11:55 AM	Estimating Additive Interaction Effect in Stratified Two-Phase Case-Control Design Ai Ni, The Ohio State University; Jaya M Satagopan, Memorial Sloan Kettering Cancer Center
12:15 PM	Floor Discussion

233 !	Mon, 7/29/2019, 2:00 PM - 3:50 PM	CC-712
Innovative Approaches for High-Dimensional Omics and Neuroimaging Data — Topic Contributed Papers
International Indian Statistical Association, Biometrics Section, Section on Statistics in Genomics and Genetics
Organizer(s): Subharup Guha, University of Florida
Chair(s): Subharup Guha, University of Florida
2:05 PM	Are We There Yet: Differential Analysis of Single-Cell RNA Sequencing Data? Susmita Datta, ASA Committee on Women in Statisitcs
2:25 PM	Expression-Level-Dependent Correlation Structure Estimation for Repeated-Measures RNA-Seq Data Presentation Dan Nettleton, Iowa State University; Meiling Liu, Iowa State University
2:45 PM	Efficient Approaches for Dynamic Modeling of Multivariate Time Series Raquel Prado, UC Santa Cruz-Baskin School of Engineering
3:05 PM	Mediation Analysis for Zero-Inflated Mediators Presentation Zhigang Li, University of Florida; Janaka Peragaswaththe Liyanage, University of Florida; A. James O'Malley, Dartmouth College; Susmita Datta, ASA Committee on Women in Statisitcs
3:25 PM	Nonparametric Bayes Multiresolution Testing for Detecting Rare Variants Jyotishka Datta, University of Arkansas; David Dunson, Duke University
3:45 PM	Floor Discussion

218889	Mon, 7/29/2019, 5:30 PM - 7:00 PM	H-Mineral Hall F
IISA Mixer and General Body Meeting — Other ICW
International Indian Statistical Association
Organizer(s): Amit Bhattacharyya, Alexion Pharmaceuticals

269 !	Tue, 7/30/2019, 8:30 AM - 10:20 AM	CC-712
New Perspectives on Statistical Robustness — Invited Papers
IMS, International Indian Statistical Association, Section on Nonparametric Statistics
Organizer(s): Po-Ling Loh, UW-Madison
Chair(s): Po-Ling Loh, UW-Madison
8:35 AM	Learning Discrete Markov Random Fields with Nearly Optimal Runtime and Sample Complexity Adam Klivans, UT Austin
9:00 AM	Algorithmic Questions in High-Dimensional Robust Statistics Ilias Diakonikolas, USC
9:25 AM	Robust Learning: Information Theory and Algorithms Jacob Steinhardt, UC Berkeley
9:50 AM	Robust Estimation via Robust Gradient Estimation Pradeep Ravikumar, Carnegie Mellon University
10:15 AM	Floor Discussion

376 !	Tue, 7/30/2019, 2:00 PM - 3:50 PM	CC-103
All Things Bayesian: The Next Generation — Invited Papers
International Indian Statistical Association, Section on Bayesian Statistical Science, General Methodology
Organizer(s): Ananda Sen, University of Michigan
Chair(s): Saptarshi Chatterjee, Northern Illinois University
2:05 PM	A Practical Bayesian Analysis of Recurrence and Termination Presentation Debajyoti Sinha, FLORIDA STATE UNIVERSITY; Zhixing Xu, Florida State University; Jonathan R. Bradley, Florida State University
2:30 PM	Honey I Shrunk the Intercept Presentation Ananda Sen, University of Michigan; Phil Boonstra, University of Michigan
2:55 PM	On the Beta Prime Prior for Scale Parameters in High-Dimensional Bayesian Regression Models Malay Ghosh, University of Florida; Ray Bai
3:20 PM	Uncertainty Quantification for Bayesian Survival Analysis Stephanie van der Pas, Leiden University; Ismael Castillo, Sorbonne University
3:45 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

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

446 * !	Wed, 7/31/2019, 8:30 AM - 10:20 AM	CC-101
New Statistical Methods in Evolutionary Biology — Invited Papers
Biometrics Section, International Indian Statistical Association, WNAR
Organizer(s): Arindam RoyChoudhury, Cornell University
Chair(s): Arindam RoyChoudhury, Cornell University
9:00 AM	Inferring Tumor Phylogenies Using Single-Cell Sequencing Data Presentation Jing Peng, The Ohio State University; Laura Kubatko, The Ohio State University; Yuan Gao, The Ohio State University
9:25 AM	Neutrality Test on Evolutionary Tree Topologies: Where Statistics, Physics, and Geometric Analysis Meet Dan D. Erdmann-Pham, University of California, Berkeley; Yun S. Song, University of California, Berkeley; Jonathan Terhorst, University of Michigan
9:50 AM	Discussant: Marc Suchard, UCLA
10:00 AM	Discussant: James Degnan, University of New Mexico
10:15 AM	Floor Discussion

452 * !	Wed, 7/31/2019, 8:30 AM - 10:20 AM	CC-710
Geometric Statistical and Computational Methods in Imaging — Topic Contributed Papers
Section on Statistics in Imaging, International Indian Statistical Association, Section on Statistical Computing
Organizer(s): Sebastian Kurtek, The Ohio State University
Chair(s): Sebastian Kurtek, The Ohio State University
8:35 AM	Density Estimation Under Multimodal Shape Constraints Anuj Srivastava, Florida State University
8:55 AM	Catalyst Acceleration for Non-Convex Optimization on Manifolds Presentation Lizhen Lin, University of Notre Dame; Bayan Saparbayeva, University of Notre Dame; Michael Minyi Zhang, Princeton University; David Dunson, Duke University
9:15 AM	Geometric Aspects of Warped Functional Data, and Local Regression Presentation Karthik Bharath, University of Nottingham
9:35 AM	Signal Subgraph Learning for Longitudinal Structural Brain Networks Presentation Lu Wang, Central South University
9:55 AM	Object Data Driven Discovery Presentation 1 Presentation 2 Ian L Dryden, University of Nottingham
10:15 AM	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

544 * !	Wed, 7/31/2019, 2:00 PM - 3:50 PM	CC-506
Dynamic Graphical Models and Networks with Applications — Invited Papers
International Indian Statistical Association, Section on Statistical Learning and Data Science, Section on Statistical Computing
Organizer(s): Sharmodeep Bhattacharyya, Oregon State University
Chair(s): Sharmodeep Bhattacharyya, Oregon State University
2:05 PM	Mixed Membership Stochastic Blockmodels for Heterogeneous Networks Yuguo Chen, University of Illinois at Urbana-Champaign
2:20 PM	On the CUSUM Changepoint Estimator for Network Data Shirshendu Chatterjee, City University of New York, City College; Sharmodeep Bhattacharyya, Oregon State University; Peter J Bickel, University of California, Berkeley; Soumendu Sundar Mukherjee, Indian statistical Institute
2:35 PM	Inference in Vector Autoregressive Models with Union of Intersections for Sparse, Accurate, and Predictive Dynamic Causal Networks at Scale Kristofer Bouchard, Lawrence Berkeley National Laboratory
2:50 PM	Network Modeling of High-Dimensional Time Series Sumanta Basu, Cornell University
3:05 PM	Discussant: Peter J Bickel, University of California, Berkeley
3:20 PM	Discussant: Sofia C Olhede, University College London
3:25 PM	Floor Discussion

557 * !	Wed, 7/31/2019, 2:00 PM - 3:50 PM	CC-108
Data Monitoring Committees – the Multi-Disciplinary Approach to Drug Safety Assessment — Topic Contributed Papers
Biopharmaceutical Section, International Indian Statistical Association, Section for Statistical Programmers and Analysts
Organizer(s): Amit Bhattacharyya, Alexion Pharmaceuticals
Chair(s): William (Bill) Wang, Merck Research Lab
2:05 PM	EMERGING CHANGES in DMC OVERSIGHT Susan S. Ellenberg, University of Pennsylvania
2:25 PM	A Journey Through Guidelines for DMC in Addressing Evolving Paradigm Changes – What Really Matters Presentation Estelle Russek-Cohen, FDA CDER
2:45 PM	The Perfect DMC – a Multi-Disciplinary Approach to Monitor Patient Safety: Presentation Jonathan Seltzer, ACI Clinical
3:05 PM	Implementing Effective DMC Decision-Making in Complex Clinical Trial Designs Presentation Paul Gallo, Novartis Pharmaceutical
3:25 PM	Are Interactive Graphics in a DMC Ready for Prime-Time, for Better Safety Reviews? Presentation James Buchanan, Covilance LLC
3:45 PM	Floor Discussion

560 * !	Wed, 7/31/2019, 2:00 PM - 3:50 PM	CC-111
Using Large Healthcare Databases and Modern Statistical Methods to Impact Health Policy — Topic Contributed Papers
ENAR, Health Policy Statistics Section, International Indian Statistical Association
Organizer(s): Nandita Mitra, University of Pennsylvania
Chair(s): Nandita Mitra, University of Pennsylvania
2:05 PM	Innovations to Assess Program Attribution and Calculate Return on Investment in Large-Scale Health Programs Jiaqi Li, Booz Allen Hamilton; Ping Yu, Booz Allen Hamilton
2:25 PM	A Fresh Look at Models, Assumptions, and Confounders in Diff-In-Diff Presentation Bret Zeldow, Harvard Medical School; Laura A Hatfield, Harvard Medical School
2:45 PM	Hierarchical Bayesian Estimation of Subgroup Effects in Large Healthcare Policy Evaluations Presentation Jonathan Gellar, Mathematica Policy Research; Mariel Finucane, Mathematica Policy Research; Ignacio Martinez, Mathematica Policy Research
3:05 PM	Bayesian Nonparametric Model for Zero-Inflated Outcomes: Clustering, Prediction, and Causal Inference Arman Oganisian, Univ of Pennsylvania; Nandita Mitra, University of Pennsylvania; Jason Roy, Rutgers University
3:25 PM	Discussant: Jason Roy, Rutgers 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

599 !	Thu, 8/1/2019, 8:30 AM - 10:20 AM	CC-507
Resampling Methods for High-Dimensional Inference — Topic Contributed Papers
IMS, Section on Nonparametric Statistics, International Indian Statistical Association
Organizer(s): Miles Lopes, UC Davis
Chair(s): Guillaume Basse, UC Berkeley
8:35 AM	Higher Order Asymptotic Properties of the Bootstrap in Post Model Selection Inference in High Dimensions Soumendra N Lahiri, North Carolina State University
8:55 AM	One-Way Functional ANOVA via Basis Expansion and Bootstrapping Presentation Zhenhua Lin, University of California, Davis; Miles Lopes, UC Davis; Hans Mueller, UC Davis
9:15 AM	New Non-Asymptotic Results About Accuracy of Bootstrapping Procedures in Multivariate Setting Mayya Zhilova, Georgia Institute of Technology
9:35 AM	Finite Sample Unbiasedness in High Dimensions via the Iterative Bootstrap Stephane Guerrier, University of Geneva
9:55 AM	Floor Discussion

641 * !	Thu, 8/1/2019, 10:30 AM - 12:20 PM	CC-109
Recent Advances in Density Mixture Modeling and EM-Like Algorithms: Frequentist and Bayesian Views — Topic Contributed Papers
Section on Nonparametric Statistics, Section on Statistical Learning and Data Science, International Indian Statistical Association
Organizer(s): Michael Levine, Purdue University
Chair(s): Matthew Reimherr, Penn State University
10:35 AM	An Asynchronous Distributed Expectation Maximization Algorithm for Massive Data: The DEM Algorithm Sanvesh Srivastava, University of Iowa; Chuanhai Liu, Purdue University; Glen DePalma, Purdue University
10:55 AM	A Regularization Based Approach to Estimation of a Two Component Nonparametric Density Mixture with a Known Component Presentation Michael Levine, Purdue University; Zuofeng Shang, IUPUI; Zhou Shen, J.P. Morgan
11:15 AM	Singularity Structures of Mixture Models: Statistical and Computational Perspective Presentation Nhat Ho, University of California, Berkeley
11:35 AM	Prediction Risk in Linear Regression Models Under Global-Local Mixture Priors Presentation Anindya Bhadra, Purdue University; Jyotishka Datta, University of Arkansas; Yunfan Li, Purdue University; Nicholas Polson, University of Chicago; Brandon Willard, University of Chicago
11:55 AM	Mixture Methods for Panel Data Models Presentation Stephane Bonhomme, University of Chicago
12:15 PM	Floor Discussion

658	Thu, 8/1/2019, 10:30 AM - 12:20 PM	CC-112
Regression, Selection and Complex Data — Contributed Papers
International Indian Statistical Association
Chair(s): Sourav Santra, Cytel
10:35 AM	Penalized Variable Selection in the Presence of Outliers Abhijit Mandal, Wayne State University; Samiran Ghosh, Wayne State University
10:50 AM	On the Loss Robustness of Least Square Estimators Tamal Ghosh, University of Florida; Malay Ghosh, University of Florida; Tatsuya Kubokawa, The university of Tokyo
11:05 AM	A Graph-Based Multisample Test for High-Dimensional Compositional Data Thy Dao, University of Arkansas; Qingyang Zhang, University of Arkansas
11:20 AM	Log-Linear Model Selection and Inference for Contingency Tables Arnab Chowdhury, BRI, City of Hope, Duarte, CA; Subir Ghosh, University of California, Riverside
11:35 AM	A Flexible Finite Mixture Model Family for Analyzing Over- and Underdispersed Discrete Data, with Possibly Negative Weights Presentation Martial Luyts; Geert Molenberghs, Universiteit Hasselt & Katholieke Universiteit Leuven; Geert Verbeke, Catholic University of Leuven; Koen Matthijs, Catholic University of Leuven
11:50 AM	A Single-Index Informative Summary Presentation Siamak Noorbaloochi; Barbara Clothier, CCDOR-Mpls VAHCS
12:05 PM	Floor Discussion

JSM 2019 Online Program

Activity Details

American Statistical Association