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

22 * !	Sun, 7/28/2019, 2:00 PM - 3:50 PM	CC-707
Testing and Evaluation of High-Dimensional Models — Topic Contributed Papers
Section on Bayesian Statistical Science, Section on Nonparametric Statistics, Section on Statistical Learning and Data Science
Organizer(s): Steve MacEachern, The Ohio State University
Chair(s): Juhee Lee, University of California, Santa Cruz
2:05 PM	Detection of Common-Variance Subspace and Its Application to Classification Jiae Kim, The Ohio State University; Steve MacEachern, The Ohio State University
2:25 PM	Horseshoes, Shape Mixing, and Ultra-Sparse Locally Adaptive Shrinkage Presentation Andrew Womack, Indiana University
2:45 PM	Comparing and Combining Forecast Distributions Having Different Dimensions Catherine Forbes, Monash University
3:05 PM	Inconvenient Diagnostics and Corrections for Convenience Samples Eloise Kaizar, Ohio State University
3:25 PM	Model Misspecification and Familial Null Hypotheses Presentation Steve MacEachern, The Ohio State University
3:45 PM	Floor Discussion

35	Sun, 7/28/2019, 2:00 PM - 3:50 PM	CC-712
Applications of Nonparametric Methods — Contributed Papers
Section on Nonparametric Statistics
Chair(s): Anna Plantinga, Williams College
2:05 PM	Kolmogorov-Smirnov Simultaneous Confidence Bands for Time Series Distribution Function Presentation Jie Li, Tsinghua University; Jiangyan Wang, Nanjing Audit University; Lijian Yang, Tsinghua University
2:20 PM	Randomized Allocation with Nonparametric Estimation for Contextual Multi-Armed Bandits with Delayed Rewards Sakshi Arya, University of Minnesota; Yuhong Yang, University of Minnesota
2:35 PM	Sufficient Dimension Reduction for Feasible and Robust Estimation of Average Causal Effect Trinetri Ghosh, Pennsylvania State University; Yanyuan Ma, The Pennsylvania State University; Xavier de Luna, Umeå School of Business,Economics and Statistics at Umeå University
2:50 PM	Meta-Anlysis of Quantile Intervals from Different Studies Omer Ozturk, Ohio State University; Narayanaswamy Balakrishnan, McMaster University
3:05 PM	Some Depth-Based Approaches to Statistical Regions Presentation Derek Young, University of Kentucky
3:20 PM	Measuring Causal Impacts on Multifaceted Outcomes with Missingness, with an Application to Welfare Impacts of Mobile Credit Jacqueline Mauro; Joshua Blumenstock, University of California Berkeley; Katherine Yen, UC Berkeley; Andrew Linxie, UC Berkeley
3:35 PM	Nonparametric Regression with Responses Missing Not at Random Presentation Dipnil Chakraborty, The University of Texas at Dallas; Sam Efromovich, The University of Texas at Dallas

43	Sun, 7/28/2019, 2:00 PM - 3:50 PM	CC-105
SPEED: Statistics in Sports; Physical Activity/Sleep Studies, and Nonparametrics Part 1 — Contributed Speed
Section on Statistics in Sports, Biometrics Section, Survey Research Methods Section, Section on Bayesian Statistical Science, Section on Nonparametric Statistics
Chair(s): Andrew Swift, University of Nebraska at Omaha
Poster Presentations for this session.
2:05 PM	Preference Probability Based on Ranks – A New Approach Using Logistic Regression with Zero Intercept Presentation 1 Presentation 2 Oluwagbenga Agboola, University of Northern Colorado
2:10 PM	Quantifying the Deception of an MLB Pitch Presentation Jason Wilson, Biola University
2:15 PM	Application of Data Analytics and Visualization in NCAA Division III Men’s Basketball Presentation Thomas Rhomberg
2:20 PM	Devaluing the Yurchenko Full: The Effect of NCAA Women’s Gymnastics Code Modifications on Event and Total Scores Elizabeth Jewell, University of Michigan
2:25 PM	Faint Galaxies Detection: An Example of Guided Follow-Up with Imbalanced Data Sets Niccolo Dalmasso, Carnegie Mellon University; Ann B. Lee, Carnegie Mellon University; Rafael Izbicki, Federal University of Sao Carlos
2:30 PM	Is There Racial Bias in NFL Roughing the Passer Calls? Presentation Nilesh Shah, University of Pittsburgh
2:35 PM	Longevity of NFL Players Masaru Teramoto, University of Utah; Chad Cross, University of Nevada, Las Vegas; Daniel Cushman, University of Utah; Stuart Willick, University of Utah
2:40 PM	Determining Optimal Skills for Beach Volleyball Partners Presentation Jacob Eliason, Brigham Young University; Gil Fellingham, Brigham Young University; Matthew Oehler, Brigham Young University
2:45 PM	A SHINY Markov Machine for Decision-Making in Major League Baseball Presentation Jason Osborne, North Carolina State University
3:00 PM	Meta-Analysis to Quantify Properties of Quarterback Metrics Presentation Julia Stiller; Michael Lopez, Skidmore College
3:05 PM	Weighted Regression with Covariates Derived from Discrepancies Between High-Dimensional Predictors Lucia Tabacu, Old Dominion University; Andrew Leroux, JHU; Ciprian Crainiceanu, Johns Hopkins University
3:10 PM	The Computational Performance of Machine Learning Methods in The Success Prediction of Kickstarter Campaigns Michael Oduro-Safo, University of Northern Colorado; Han Yu, University of Northern Colorado
3:15 PM	Minute-By-Minute Sleep Data: a SAS Macro to Create Summary Sleep Variables Presentation Laura Grau, University of Colorado-Biostatistics; Jaron Arbet, University of Colorado; Danielle Ostendorf, University of Colorado; Edward L Melanson, University of Colorado; Jill L Kaar, University of Colorado; Victoria A Catenacci, University of Colorado; Seth A. Creasy, University of Colorado
3:20 PM	Interpretable Localized Time-Frequency Analysis via Penalized Reduced Rank Regression Presentation Marie Tuft, University of Pittsburgh; Rob Krafty, University of Pittsburgh
3:25 PM	Information Theoretic Measures of Diversity Presentation Nikhil S Padhye, University of Texas Health Science Center at Houston; Marcia C de Oliveira Otto, University of Texas Health Science Center at Houston
3:30 PM	Bayesian Semiparametric ROC Surface Estimation Under Verification Bias Presentation Rui Zhu, North Carolina State University; Subhashis Ghosal, North Carolina State University
3:35 PM	Statistical Inference for L-Moments of Specific, Common Distributions Timothy Shawn Anderson, Air Force Institute of Technology; Christine Schubert Kabban, Air Force Institute of Technology; Fairul Mohd-Zaid, Air Force Research Labs
3:40 PM	Floor Discussion

48 * !	Sun, 7/28/2019, 4:00 PM - 5:50 PM	CC-104
New Frontiers in High-Dimensional and Complex Data analyses — Invited Papers
Biometrics Section, International Chinese Statistical Association, Section on Nonparametric Statistics
Organizer(s): Yichuan Zhao, Georgia State University
Chair(s): Lexin Li, University of California at Berkeley
4:05 PM	Statistical Inference for High-Dimensional Models via Recursive Online-Score Estimation Runze Li, Penn State University
4:30 PM	Dimension Reduction for High-Dimensional Censored Data Shanshan Ding, University of Delaware; Wei Qian, University of Delaware; Lan Wang, University of Minnesota
4:55 PM	Network Response Regression for Modeling Population of Networks with Covariates Emma Jingfei Zhang, University of Miami; Will Wei Sun, Purdue University; Lexin Li, University of California at Berkeley
5:20 PM	Penalized Empirical Likelihood for the Sparse Cox Model Dongliang Wang, SUNY Upstate Medical University; Tong Tong Wu, University of Rochester; Yichuan Zhao, Georgia State University
5:45 PM	Floor Discussion

78	Sun, 7/28/2019, 4:00 PM - 5:50 PM	CC-712
Nonparametric Modeling — Contributed Papers
Section on Nonparametric Statistics
Chair(s): Richard Payne, Eli Lilly & Company
4:05 PM	Efficient Nonparametric Estimation of Population Size from Incomplete Lists Presentation Manjari Das, Carnegie Mellon University; Edward Kennedy, Carnegie Mellon University
4:20 PM	Statistical Estimation of Context Set Models Zsolt Talata, University of Kansas
4:35 PM	Spectral Estimation Using Multitaper Whittle Methods with a Lasso Penalty Shuhan Tang, The Ohio State University; Peter F. Craigmile, The Ohio State University; Yunzhang Zhu, The Ohio State University
4:50 PM	A Smooth Block Bootstrap for Quantile Regression with Time Series Presentation Karl Gregory, University of South Carolina; Daniel J. Nordman, Iowa State University; Soumendra N Lahiri, North Carolina State University
5:05 PM	Nonparametric Bayes Estimation of the Reliability Function of a Coherent System AKM Fazlur Rahman, University of Alabama At Birmingham; Edsel A Pena, University of South Carolina
5:20 PM	The Stationary Jackknife Weilian Zhou, North Carolina State University; Soumendra N Lahiri, North Carolina State University
5:35 PM	Targeted Learning of the Population Size Based on Capture-Recapture Designs Yue You, Biostatistics, UC Berkeley; Mark van der Laan, UC Berkeley; Nicholas Jewell, Biostatistics, UC Berkeley; Robin Mejia, Carnegie Mellon University

87	Sun, 7/28/2019, 4:00 PM - 4:45 PM	CC-Hall C
SPEED: Statistics in Sports; Physical Activity/Sleep Studies, and Nonparametrics Part 2 — Contributed Poster Presentations
Section on Statistics in Sports, Biometrics Section, Survey Research Methods Section, Section on Bayesian Statistical Science, Section on Nonparametric Statistics
Chair(s): Wendy Meiring, University of California At Santa Barbara
Oral Presentations for this session.
16:	Preference Probability Based on Ranks – A New Approach Using Logistic Regression with Zero Intercept Oluwagbenga Agboola, University of Northern Colorado
17:	Quantifying the Deception of an MLB Pitch Jason Wilson, Biola University
18:	Application of Data Analytics and Visualization in NCAA Division III Men’s Basketball Thomas Rhomberg
19:	Devaluing the Yurchenko Full: The Effect of NCAA Women’s Gymnastics Code Modifications on Event and Total Scores Elizabeth Jewell, University of Michigan
20:	Is There Racial Bias in NFL Roughing the Passer Calls? Nilesh Shah, University of Pittsburgh
21:	Longevity of NFL Players Masaru Teramoto, University of Utah; Chad Cross, University of Nevada, Las Vegas; Daniel Cushman, University of Utah; Stuart Willick, University of Utah
22:	Determining Optimal Skills for Beach Volleyball Partners Jacob Eliason, Brigham Young University; Gil Fellingham, Brigham Young University; Matthew Oehler, Brigham Young University
23:	A SHINY Markov Machine for Decision-Making in Major League Baseball Jason Osborne, North Carolina State University
25:	Meta-Analysis to Quantify Properties of Quarterback Metrics Julia Stiller; Michael Lopez, Skidmore College
26:	Weighted Regression with Covariates Derived from Discrepancies Between High-Dimensional Predictors Lucia Tabacu, Old Dominion University; Andrew Leroux, JHU; Ciprian Crainiceanu, Johns Hopkins University
27:	Minute-By-Minute Sleep Data: a SAS Macro to Create Summary Sleep Variables Laura Grau, University of Colorado-Biostatistics; Jaron Arbet, University of Colorado; Danielle Ostendorf, University of Colorado; Edward L Melanson, University of Colorado; Jill L Kaar, University of Colorado; Victoria A Catenacci, University of Colorado; Seth A. Creasy, University of Colorado
28:	Interpretable Localized Time-Frequency Analysis via Penalized Reduced Rank Regression Marie Tuft, University of Pittsburgh; Rob Krafty, University of Pittsburgh
29:	Information Theoretic Measures of Diversity Nikhil S Padhye, University of Texas Health Science Center at Houston; Marcia C de Oliveira Otto, University of Texas Health Science Center at Houston
30:	Bayesian Semiparametric ROC Surface Estimation Under Verification Bias Rui Zhu, North Carolina State University; Subhashis Ghosal, North Carolina State University
31:	The Computational Performance of Machine Learning Methods in The Success Prediction of Kickstarter Campaigns Michael Oduro-Safo, University of Northern Colorado; Han Yu, University of Northern Colorado
32:	Statistical Inference for L-Moments of Specific, Common Distributions Timothy Shawn Anderson, Air Force Institute of Technology; Christine Schubert Kabban, Air Force Institute of Technology; Fairul Mohd-Zaid, Air Force Research Labs
33:	Faint Galaxies Detection: An Example of Guided Follow-Up with Imbalanced Data Sets Niccolo Dalmasso, Carnegie Mellon University; Ann B. Lee, Carnegie Mellon University; Rafael Izbicki, Federal University of Sao Carlos
Oral Presentations for this session.

123 * !	Mon, 7/29/2019, 8:30 AM - 10:20 AM	CC-301
New Challenges and Opportunities in Nonparametric Statistics — Topic Contributed Papers
Section on Nonparametric Statistics, IMS, International Chinese Statistical Association
Organizer(s): Lingzhou Xue, Penn State University and National Institute of Statistical Sciences
Chair(s): Derek Young, University of Kentucky
8:35 AM	High-Dimensional Robust Covariance Matrix Estimation for Compositional Microbiome Data Arun Srinivasan, Pennsylvania State University; Lingzhou Xue, Penn State University and National Institute of Statistical Sciences; Xiang Zhan, Penn State University
8:55 AM	Two Sample High-Dimensional Covariance Test Danning Li, Penn State University; Lingzhou Xue, Penn State University and National Institute of Statistical Sciences; Xiufan Yu, Penn State University
9:15 AM	A General Framework for Sparse Sufficient Dimension Reduction Presentation Wei Luo, Zhejiang University
9:35 AM	On Dual Model-Free Variable Selection with Two Groups of Variables Yuexiao Dong, Temple University; Ahmad Alothman, Kuwait University; Andreas Artemiou, Cardiff University
9:55 AM	Temporal Exponential-Family Random Graph Models with Time-Evolving Latent Block Structure for Dynamic Networks Kevin Lee, Western Michigan University; Amal Agarwal, The Pennsylvania State University; Lingzhou Xue, Penn State University and National Institute of Statistical Sciences
10:15 AM	Floor Discussion

133	Mon, 7/29/2019, 8:30 AM - 10:20 AM	CC-302
Statistical Methods for Functional Data — Contributed Papers
Section on Nonparametric Statistics
Chair(s): Hyung Park, New York University
8:35 AM	Rank Dynamics for Functional Data Yaqing Chen, University of California, Davis; Matthew Dawson, University of California, Davis; Hans Mueller, UC Davis
8:50 AM	Modeling Time-Varying Object Data Paromita Dubey, University of California, Davis; Hans Mueller, UC Davis
9:05 AM	Covariance Function Estimation for Multidimensional Functional Data Raymond Wong, Texas A&M University; Jiayi Wang, Texas A&M University; Xiaoke Zhang, George Washington University
9:20 AM	Covariance Based Low-Dimensional Registration for Function-On-Function Regression Presentation Tobia Boschi, Pennsylvania State University; Francesca Chiaromonte, Pennsylvania State University and EMbeDS, Sant'Anna School of Advanced Studies; Piercesare Secchi, Politecnico di Milano, MOX Laboratory for Modeling and Scientific Computing; Bing Li, The Pennsylvania State University
9:35 AM	Benefits and Pitfalls of the Exponential Mechanism with Applications to Hilbert Spaces and Functional PCA Presentation Jordan Awan, Penn State University; Ana Kenney, Pennsylvania State University; Matthew Reimherr, Penn State University; Aleksandra Slavkovic, Penn State University
9:50 AM	A New Metric for Estimating Noise in Functional Data Presentation Subhrangshu Nandi, Amazon; Michael Abott Newton, University of Wisconsin - Madison
10:05 AM	Nonlinear Function-On-Function Regression Model Using Reproducing Kernel Hilbert Spaces Method Presentation Bahaeddine Taoufik, Saint Joseph's University; Matthew Reimherr, Penn State University; Bharath Sriperumbudur, The Pennsylvania State University

150 * !	Mon, 7/29/2019, 10:30 AM - 12:20 PM	CC-603
Recent Advances in Nonparametric Statistical Methods for Complex Data — Invited Papers
Section on Nonparametric Statistics, IMS, Section on Statistical Learning and Data Science
Organizer(s): Lingzhou Xue, Penn State University and National Institute of Statistical Sciences
Chair(s): Danning Li, Penn State University
10:35 AM	Statistical Approach to Topological Data Analysis Kenji Fukumizu, Institute of Statistical Mathematics
11:00 AM	Dimension Reduction for Functional Databased on Weak Conditional Moments Presentation Bing Li, The Pennsylvania State University; Jun Song, University of North Carolina at Charlotte
11:25 AM	Nonconvex Statistical Learning for the Dimensionality Reduction of High-Dimensional Data Lingzhou Xue, Penn State University and National Institute of Statistical Sciences; Shiqian Ma, University of California, Davis; Hui Zou, University of Minnesota
11:50 AM	Detecting Rare and Weak Spikes in Large Covariance Matrices Zheng Tracy Ke, Harvard University
12:15 PM	Floor Discussion

187	Mon, 7/29/2019, 10:30 AM - 12:20 PM	CC-Hall C
Contributed Poster Presentations: Section on Nonparametric Statistics — Contributed Poster Presentations
Section on Nonparametric Statistics
Chair(s): Wendy Meiring, University of California At Santa Barbara
14:	Generating Knockoffs Without Knowing the Distributions of the Covariates Dongming Huang, Harvard University
15:	A Nonparametric Comparison of Quantiles Test Between Two Populations Matthew Arvanitis, Forest Product Laboratory
16:	Strong Consistency of the Non-Parametric Maximum Likelihood Estimator of Correlated Normal Random Variables Xiangjie Xue, University of Auckland
17:	Improvement of the Accuracy in Testing the Effect in the Cox Proportional Hazards Model Using Higher Order Approximations Silvie Belaskova, Fakultni Nemocnice U Sv. Anny V Brne; Eva Fiserova, St. Anne’s University Hospital Brno, Czech Republic; Jay Mandrekar, Mayo Clinic, Rochester MN, USA
18:	Exact Meta-Analysis Using a Permutation-Based Approach Brinley Zabriskie, Utah State University; Chris Corcoran, Utah State University; Pralay Senchaudhuri, Cytel Software Corporation
19:	A Robust Statistical Method to Estimate the Intervention Effect with Longitudinal Data Erik Heiny, Utah Valley University; Mohammad Islam, Utah Valley University
20:	Empirical Likelihood Ratio Tests with Power One Li Zou, California State University, East Bay.; Albert Vexler, The State University of New York at Buffalo
21:	Nonparametric Estimation of Blood Alcohol Concentration from Transdermal Alcohol Measurements Using Alcohol Biosensor Devices Bryan Vader, CSU Channel Islands; Alona Kryshchenko, CSU Channel Islands; Melike Sirlanci, California Technical University
22:	Monotonic Nonparametric Dose Response Model Faten Alamri, princess Nourah bint Abdulrahman University &Virginia Commonwealth University; Edward L Boone, Virginia Commonwealth University; David Edwards, Virginia Commonwealth University
23:	A Data-Adaptive Targeted Learning Approach of Evaluating Viscoelastic Assay Driven Trauma Treatment Protocols Linqing Wei, Univ of California - Berkeley, Biostatistics Department; Alan Hubbard, University of California, Berkeley; Lucy Zumwinkle Kornblith, University of California,San Francisco; Mitchell Jay Cohen, University of Colorado School of Medicine
24:	Non Linear Functional Data Imputation Aniruddha Rajendra Rao, Pennsylvania State University
25:	Extension of Integral Curves Estimation to a Time-Dependent Tensor Field Model Juna Goo, Michigan State University, Department of Statistics and Probability; Lyudmila Sakhanenko, Michigan State University
27:	On the Rate of Convergence of a Neural Network Regression Estimate Learned by Gradient Descent Alina Braun, Technische Universität Darmstadt; Michael Kohler, Technische Universitaet Darmstadt; Harro Walk, Universität Stuttgart
28:	Model-Based Quantile Regression: Analyzing Excess-Zero Response Erika Cunningham, Duke University
29:	Sparse Function-On-Scalar Regression Using a Group Bridge Approach with Application to IEEG Data Zhengjia Wang, Rice University; John Magnotti, Baylor College of Medicine; Michael Beauchamp, Baylor College of Medicine; Meng Li, Rice University
30:	Semiparametric Approach to Optimal Sensor Location Design for a Photovoltaic Power Plant Jane L Harvill, Baylor University; Justin R Sims, University of Tennessee at Martin; Nalini Ravishanker, University of Connecticut; Clifford W. Hansen, Sandia National Laboratories
31:	Application of a Nonparametric Test for Comparing Transition Probabilities in Multi-State Models Ying Zhang, Merck; Jun Park, Indiana University ; Hong Wan, Merck; Valerie Teal, Merck; Robert Tipping, Merck; Giorgos Bakoyannis, Indiana University
32:	Simultaneous Bootstrap Confidence Intervals for Scale Difference Using Deviances Scott Richter; Melinda McCann, Oklahoma State University
33:	Nonparametric Density Estimation Under Adversarial Losses Shashank Singh, Carnegie Mellon University; Ananya Uppal, Carnegie Mellon University; Barnabas Poczos, Carnegie Mellon University
34:	Soft Functional Alignment of Functional Data Using Landmark Information Xiaoyang Guo, Florida State University; Wei Wu, Florida State University; Anuj Srivastava, Florida State University
35:	Modeling Kidney Function Decline via Functional Principal Components Analysis (FPCA) Brian Kwan, University of California, San Diego; Loki Natarajan, University of California, San Diego; Jing Zhang, Moores Cancer Center, University of California, San Diego; Tobias Fuhrer, Institute of Molecular Systems Biology, ETH Zurich; Daniel Montemayor, University of Texas Health Science Center at San Antonio

228 * !	Mon, 7/29/2019, 2:00 PM - 3:50 PM	CC-607
Interpreting Machine Learning Models: Opportunities, Challenges, and Applications — Topic Contributed Papers
Section on Statistical Learning and Data Science, Section on Nonparametric Statistics, Section on Statistical Computing
Organizer(s): Vijayan Nair, Wells Fargo & University of Michigan, Ann Arbor
Chair(s): Joel B. Brodsky, Wells Fargo
2:05 PM	Understanding the Effects of Predictor Variables in Black-Box Supervised Learning Models Presentation Daniel W Apley, Northwestern University
2:25 PM	Deep Insights into Explainability and Interpretability of Machine Learning Algorithms and Applications to Risk Management Presentation Jie Chen, Wells Fargo
2:45 PM	Increasing Trust and Interpretability in Machine Learning with Model Debugging Presentation Patrick Hall, H2O.ai
3:05 PM	Detecting Interpretable Insights from Large-Scale Time Series Data Qing Feng, Facebook; Sean Taylor , Facebook
3:25 PM	Floor Discussion

247	Mon, 7/29/2019, 2:00 PM - 3:50 PM	CC-108
Sufficient Dimension Reduction and High-Dimensional Data — Contributed Papers
Section on Nonparametric Statistics
Chair(s): Sayar Karmakar, University of Florida
2:05 PM	Moment Kernels for Estimating Central Mean Subspace and Central Subspace Presentation 1 Presentation 2 Weihang Ren; Xiangrong Yin, University of Kentucky
2:20 PM	A Sparse Sufficient Dimension Reduction Approach for Multiclass Linear Discriminant Analysis Jing Zeng, Florida State University; Qing Mai, Florida State University; Xin Zhang, Florida State University
2:35 PM	Likelihood-Based Dimension Reduction for Tensor Data Ning Wang, Florida State University; Xin Zhang, Florida State University; Bing Li, The Pennsylvania State University
2:50 PM	Robust Dimension Reduction Methods Prabha Shrestha; Wei Lin, Ohio University
3:05 PM	Non Standard Asymptotics in High Dimension: Manski's Maximum Score Estimator Revisited Presentation Debarghya of Mukherjee, university of michigan; Ya'acov Ritov, university of michigan; Moulinath of Banerjee, university of michigan
3:20 PM	Metropolized Knockoff Sampling Presentation Wenshuo Wang, Harvard University; Stephen Bates, Stanford; Emmanuel Candes, Stanford University; Lucas Janson, Harvard University
3:35 PM	A CONSISTENT INDEPENDENCE TEST via PROJECTED MUTUAL INFORMATION Zhanrui Cai, Penn State University; Yaowu Zhang, Shanghai University of Finance and Economics; Liping Zhu, Renmin University of China; Runze Li, Penn State University; Xu Guo, Beijing Normal University

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

278 * !	Tue, 7/30/2019, 8:30 AM - 10:20 AM	CC-504
Emerging Ideas in Predictive Inference — Invited Papers
Section on Statistical Learning and Data Science, Section on Nonparametric Statistics, Section on Statistical Computing
Organizer(s): Lucas Mentch, University of Pittsburgh
Chair(s): Yifan Cui, University of Pennsylvania
8:35 AM	Predictive Inference with Random Forests Lucas Mentch, University of Pittsburgh
9:00 AM	Forward Stability and Model Path Selection Nicholas Kissel, University of Pittsburgh; Lucas Mentch, University of Pittsburgh
9:25 AM	Relaxing the Assumptions of Model-X Knockoffs Lucas Janson, Harvard University; Dongming Huang, Harvard University
9:50 AM	Recent Advances in Conformal Prediction Presentation Larry Wasserman, Carnegie Mellon University
10:15 AM	Floor Discussion

303	Tue, 7/30/2019, 8:30 AM - 10:20 AM	CC-706
Statistical Association and High-Dimensional Data — Contributed Papers
Section on Nonparametric Statistics
Chair(s): Qing Mai, Florida State University
8:35 AM	Estimating Conditional Mutual Information for Discrete and Continuous Random Variables Presentation Octavio Mesner, Carnegie Mellon University; Cosma Shalizi, Carnegie Mellon University; Larry Wasserman, Carnegie Mellon University
8:50 AM	Dissimilarity Metrics Based Two Sample Tests in High Dimension Presentation Changbo Zhu, University of Illinois at Urbana-Champaign; Xiaofeng Shao, University of Illinois At Urbana-Champaign
9:05 AM	A Flexible and Robust Method for Assessing Conditional Association and Conditional Concordance Xiangyu Liu, The University of Texas Health Science Center at Houston; Jing Ning, The University of Texas MD Anderson Cancer Center; Yu Cheng, University of Pittsburgh; Xuelin Huang, University of Texas MD Anderson Cancer Center; Ruosha Li, The University of Texas School of Public Health
9:20 AM	High-Dimensional Empirical Likelihood Methods for Dependent Functional Data Presentation Guangxing Wang, University of California, Davis; Wolfgang Polonik, University of California, Davis
9:35 AM	Robust Rank-Based Variable Selection in Double Generalized Linear Models with Diverging Number of Parameters Under Adaptive Lasso Presentation Brice Merlin Nguelifack, United States Naval Academy
9:50 AM	Generalized Spatially Varying Coefficient Models Myungjin Kim, Iowa State University; Li Wang, Iowa State University
10:05 AM	Floor Discussion

313 !	Tue, 7/30/2019, 10:30 AM - 12:20 PM	CC-201
Recent Developments in Statistical Inference Using Distance Correlation and Related Dependence Metrics — Invited Papers
Section on Nonparametric Statistics, Journal of Nonparametric Statistics, International Chinese Statistical Association
Organizer(s): Xiaofeng Shao, University of Illinois At Urbana-Champaign
Chair(s): Xianyang Zhang, Texas A&M University
10:35 AM	Distance-Based Independence Screening for Canonical Analysis Xiaoming Huo, Georgia Institute of Technology; Chuanping Yu, Georgia Institute of Technology
11:00 AM	Dependence Measures in Metric Spaces: From Distance Correlation to Earth Mover's Correlation Gabor Szekely, NSF
11:25 AM	Distance-Based and RKHS-Based Dependence Metrics in High Dimension Xiaofeng Shao, University of Illinois At Urbana-Champaign
11:50 AM	Expected Conditional Characteristic Function-Based Measures for Testing Independence Presentation Xiangrong Yin, University of Kentucky; Chenlu Ke, University of Kentucky
12:15 PM	Floor Discussion

411	Tue, 7/30/2019, 2:00 PM - 3:50 PM	CC-302
Nonparametric Testing — Contributed Papers
Section on Nonparametric Statistics
Chair(s): Eric Kawaguchi, UCLA Department of Biostatistics
2:05 PM	Kernel Based-Hybrid Test for High-Dimensional Data Inyoung Kim, Virginia Tech
2:35 PM	A Consistent Nonparametric Test for Endogeneity Seolah Kim, University of California, Riverside
2:50 PM	Optimal Confidence Bands Under Shape Restriction in Multidimension Pratyay Datta, Columbia University ASA Student Chapter; Bodhisattva Sen, Columbia University
3:05 PM	A Robust Bootstrap Change Point Test for High-Dimensional Location Parameter Mengjia Yu, University of Illinois at Urbana-Champaign; Xiaohui Chen, University of Illinois at Urbana-Champaign
3:20 PM	The Validity of Randomization Tests in Randomized Controlled Clinical Trials Presentation Diane Uschner, George Washington University
3:35 PM	Comparison of Rotational Symmetry in Three-Dimensional Rotation Data Through a Permutation Test Presentation Melissa Bingham, University of Wisconsin-La Crosse

218858	Tue, 7/30/2019, 5:30 PM - 7:00 PM	CC-204
Section on Nonparametric Statistics Business Meeting — Other Cmte/Business
Section on Nonparametric Statistics
Chair(s): Runze Li, Penn State University

454 * !	Wed, 7/31/2019, 8:30 AM - 10:20 AM	CC-506
Recommender Systems and Large-Margin Machines: From Statistics Perspectives — Topic Contributed Papers
Section on Statistical Learning and Data Science, Section on Nonparametric Statistics, WNAR
Organizer(s): Helen Zhang, University of Arizona
Chair(s): Helen Zhang, University of Arizona
8:35 AM	Flexible Low-Rank Statistical Modeling with Missing Data and Side Information Presentation Rahul Mazumder, MIT; William Fithian, University of California at Berkeley
8:55 AM	Two Improvements to the Matrix Factorization Approach for Recommender Systems Presentation Mu Zhu, University of Waterloo
9:15 AM	Smooth Recommender Systems Ben Dai, University of Minnesota; Xiaotong Shen, University of Minnesota; Annie Qu, University of Illinois at Urbana-Champaign
9:35 AM	Discussant: Feng Liang, University of Illinois at Urbana Champaign
9:55 AM	Discussant: Boxiang Wang, University of Iowa
10:15 AM	Floor Discussion

457 * !	Wed, 7/31/2019, 8:30 AM - 10:20 AM	CC-503
Novel Statistical Approaches to Time Series of Networks — Topic Contributed Papers
Section on Nonparametric Statistics, Section on Physical and Engineering Sciences, Section on Statistics in Imaging
Organizer(s): Hernando Ombao, King Abdullah University of Science and Technology (KAUST)
Chair(s): Hernando Ombao, King Abdullah University of Science and Technology (KAUST)
8:35 AM	Network Granger Causality: Visualization and Extensions Ali Shojaie, University of Washington
8:55 AM	New Developments for Network Time Series Guy Nason, University of Bristol
9:15 AM	Quantile-Frequency Analysis and Functional Principal Components for Discriminant Analysis of Time Series Ta-Hsin Li, IBM T. J. Watson Research Center
9:35 AM	Modeling Evolution of Spectral Properties in Stationary Processes of Varying Dimensions Raanju Sundararajan, King Abdullah University of Science and Technology; Hernando Ombao, King Abdullah University of Science and Technology (KAUST)
9:55 AM	Floor Discussion

499	Wed, 7/31/2019, 10:30 AM - 12:20 PM	CC-709
Section on Nonparametric Statistics - Student Paper Competition Presentations — Topic Contributed Papers
Section on Nonparametric Statistics
Organizer(s): Howard D Bondell, University of Melbourne
Chair(s): Runze Li, Penn State University
10:35 AM	More Efficient Computation of Smoothing Splines via Space-Filling Basis Selection Presentation Cheng Meng
10:55 AM	Efficient Manifold Approximation with Spherelets Presentation Didong Li, Duke University; Minerva Mukhopadhyay, Indian Statistical Institute, Kolkata; David Dunson, Duke University
11:15 AM	A Unified Approach to Nonparametric Variable Importance Assessment Brian Williamson, University of Washington; Noah Simon, University of Washington; Marco Carone, University of Washington
11:35 AM	Model-Free Confidence Intervals for Optimal Treatment Regimes Presentation 1 Presentation 2 Yunan Wu, University of Minnesota; Lan Wang, University of Minnesota
11:55 AM	A Novel Consistent Information Criterion for Model Selection Based on Empirical Likelihood Presentation Chixiang Chen, Pennsylvania State University; Ming Wang, Pennsylvania State University; Rongling Wu, Pennsylvania State University; Runze Li, Penn State University
12:15 PM	Floor Discussion

562	Wed, 7/31/2019, 2:00 PM - 3:50 PM	CC-106
Advances in Nonparametric Methods in Causal Inference — Topic Contributed Papers
Section on Statistics in Epidemiology, Biometrics Section, Section on Nonparametric Statistics
Organizer(s): Ted Westling, Center for Causal Inference, University of Pennsylvania Perelman School of Medicine
Chair(s): Ted Westling, Center for Causal Inference, University of Pennsylvania Perelman School of Medicine
2:05 PM	Doubly-Robust Inference for Causal Effects Marco Carone, University of Washington; Ted Westling, University of Massachusetts Amherst; David Whitney, University of Washington
2:25 PM	Bayesian Causal Forests with Targeted Smoothing for Heterogeneous Treatment Effect Estimation Presentation Jennifer Starling
2:45 PM	Model-Free Policy Evaluation Rina Friedberg, Stanford University; Stefan Wager, Stanford University; Susan Athey, Stanford University
3:05 PM	Sensitivity Analysis via the Proportion of Unmeasured Confounding Matteo Bonvini, Carnegie Mellon University; Edward Kennedy, Carnegie Mellon University
3:25 PM	Causal Inference with Confounders Missing Not at Random Presentation Linbo Wang, University of Toronto; Shu Yang, North Carolina State University; Peng Ding, University of California, Berkeley
3:45 PM	Floor Discussion

582	Wed, 7/31/2019, 2:00 PM - 3:50 PM	CC-712
Nonparametric Methods for Statistical Inference — Contributed Papers
Section on Nonparametric Statistics
Chair(s): Jiae Kim, The Ohio State University
2:05 PM	Non-Parametric Test and Similarity Measure for Matching Bullets Ganesh Krishnan, Center for Statistics and Applications in Forensic Evidence (CSAFE) and Iowa State University; Heike Hofmann, Iowa State University
2:20 PM	Improved Exact Confidence Intervals for a Proportion Using Ranked-Set Sampling Presentation Yimin Zhang, Villanova University; Jesse Frey, Villanova University
2:35 PM	Maximum Approximate Bernstein Likelihood Estimation in Proportional Hazard Model for Interval-Censored Data Presentation Zhong Guan, Indiana University South Bend
2:50 PM	Proxy Variables to Common Factors and Parameter Estimation in Factor Copula Models Pavel Krupskiy, University of Melbourne; Harry Joe, University of British Columbia
3:05 PM	A Study of Performances of Some Algorithms for Multivariate Data Jin Wang, Northern Arizona University
3:20 PM	A Generalized Additive Cox Model with L1-Penalty for Heart Failure Time-To-Event Outcomes and Comparison to Other Machine Learning Approaches Presentation Matthias Kormaksson
3:35 PM	Estimation of an Improved Surrogate Model in Uncertainty Quantification by Neural Networks Presentation Sebastian Kersting, TU Darmstadt; Michael Kohler, Technische Universitaet Darmstadt; Benedict Götz, TU Darmstadt

584 !	Thu, 8/1/2019, 8:30 AM - 10:20 AM	CC-505
Empirical Processes: Theory and Applications — Invited Papers
IMS, Section on Nonparametric Statistics
Organizer(s): Jon A. Wellner, University of Washington
Chair(s): Jon A. Wellner, University of Washington
8:35 AM	On Nonhomogeneous Random Matrices Ramon van Handel, Princeton University
9:05 AM	Jackknife Multiplier Bootstrap: Finite Sample Approximations to the U-Process Supremum with Applications Kengo Kato, Cornell University; Xiaohui Chen, University of Illinois at Urbana-Champaign
9:35 AM	Limit Distribution Theory for Multiple Isotonic Regression Presentation Qiyang Han, Rutgers University; Cun-Hui Zhang, Rutgers University
10:05 AM	Floor Discussion

588 !	Thu, 8/1/2019, 8:30 AM - 10:20 AM	CC-203
Statistical Analysis of Tensor Data — Invited Papers
Section on Nonparametric Statistics, ENAR, Section on Statistical Learning and Data Science
Organizer(s): Xin Zhang, Florida State University
Chair(s): Bing Li, The Pennsylvania State University
8:35 AM	Tensor Clustering for Dynamic Functional Connectivity Analysis Presentation Will Wei Sun, Purdue University; Lexin Li, University of California at Berkeley
8:55 AM	ISLET: Fast and Optimal Low-Rank Tensor Regression via Importance Sketching Anru Zhang, University of Wisconsin-Madison; Yuetian Luo, University of Wisconsin-Madison; Garvesh Raskutti, University of Wisconsin-Madison; Ming Yuan, Columbia University
9:15 AM	Getting Multiway Arrays in Order with Co-Manifold Learning Eric Chi, North Carolina State University; Gal Mishne, Yale University; Ronald Coifman, Yale University
9:35 AM	Covariate-Adjusted Tensor Classification in High Dimensions Qing Mai, Florida State University
9:55 AM	Model-Based Clustering of Tensor Data Xin Zhang, Florida State University
10:15 AM	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

614	Thu, 8/1/2019, 8:30 AM - 10:20 AM	CC-501
Statistical Methods for Longitudinal and Other Dependent Data — Contributed Papers
Section on Nonparametric Statistics
Chair(s): Tianhong Sheng, The Pennsylvania State University
8:35 AM	Modeling Longitudinal Data with Interval Censored Anchoring Events Presentation Chenghao Chu, Vertex Pharmaceuticals; Ying Zhang, University of Nebraska Medical Center; Wanzhu Tu, Indiana University
8:50 AM	Estimation and Inference for the Mediation Effect in a Time-Varying Mediation Model Presentation Xizhen Cai, Williams College; Donna L. Coffman, Temple University; Megan Piper , University of Wisconsin; Runze Li, Penn State University
9:05 AM	Statistical Analysis of Longitudinal Data on Riemannian Manifolds Xiongtao Dai, Iowa State University ; Zhenhua Lin, University of California, Davis; Hans Mueller, UC Davis
9:20 AM	Comprehensive Simultaneous Inference on Trend-Cycle Model Presentation Sayar Karmakar, University of Florida; Wei Biao Wu, University of Chicago
9:35 AM	Estimation of a Star-Shaped Distribution Function Presentation Ganesh Malla, University of Cincinnati-Clermont
9:50 AM	Adaptation in Log-Concave Density Estimation Oliver Feng, University of Cambridge; Richard Samworth, University of Cambridge; Arlene Kyoung Hee Kim, Sungshin University; Adityanand Guntuboyina, University of California at Berkeley
10:05 AM	Robust Matrix-Based Measures of Agreement Based on L-Statistics for Repeated Measures Elahe Tashakor, Pennsylvania State University; Vernon Chinchilli, Pennsylvania State University

634 !	Thu, 8/1/2019, 10:30 AM - 12:20 PM	CC-502
Recent Advancements in Distance and Kernel-Based Metrics and Related Learning Methods — Invited Papers
Section on Statistical Learning and Data Science, Section on Nonparametric Statistics, National Science Foundation
Organizer(s): Shubhadeep Chakraborty, Texas A&M University
Chair(s): Soutrik Mandal, National Cancer Institute
10:35 AM	Generalizing Distance Covariance to Measure and Test Multivariate Mutual Dependence via Complete and Incomplete V-Statistics David Matteson, Cornell University; Ze Jin, Facebook
11:00 AM	A New Framework for Distance Metrics in High Dimension Presentation 1 Presentation 2 Xianyang Zhang, Texas A&M University; Shubhadeep Chakraborty, Texas A&M University
11:25 AM	Classification with Imperfect Training Labels Presentation Timothy I. Cannings, University of Edinburgh; Yingying Fan, University of Southern California; Richard Samworth, University of Cambridge
11:50 AM	Distance Metrics for Measuring Joint Dependence with Application to Causal Inference Shubhadeep Chakraborty, Texas A&M University; Xianyang Zhang, Texas A&M University
12:15 PM	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

665	Thu, 8/1/2019, 10:30 AM - 12:20 PM	CC-110
Regression Methods for Longitudinal Data — Contributed Papers
Section on Nonparametric Statistics
Chair(s): Zachary R McCaw, Harvard T.H. Chan School of Public Health
10:35 AM	Efficient Estimation of Statistical Models for Longitudinal Data Under Local Box-Cox Transformation Presentation Mohammed Chowdhury, Kennesaw State University
10:50 AM	Nonparametric Estimation of Time-Lagged Varying-Coefficient Models with Longitudinal Data Xin Tian, National Heart, Lung and Blood Institute, National Institutes of Health; Colin O. Wu, National Heart, Lung and Blood Institute, National Institutes of Health; Xiaoying Yang, The George Washington University; Zhaohai Li, The George Washington University
11:05 AM	Posterior Contraction and Credible Sets for Filaments of Regression Functions Presentation Wei Li, Syracuse University; Subhashis Ghosal, North Carolina State University
11:20 AM	Prediction Intervals for Out-Of-Sample Forecasts Based on Spline Extrapolation Jan Gertheiss, Helmut Schmidt University
11:35 AM	Variable Bandwidth Kernel Regression Estimation Janet Nakarmi, University of Central Arkansas; Hailin Sang, The University of Mississippi; Lin Ge, Mississippi State Univeristy
11:50 AM	Nonparametric Methods for Complex Multivariate Data: Asymptotics and Small Sample Approximations Presentation Yue Cui, University of Kentucky; Solomon W. Harrar, University of Kentucky
12:05 PM	A Monotonic Relationship with an Ordinal Variable in Regression? How Many Degrees of Freedom Would That Use Up? Presentation Julia Elizabeth (Kelsall) Crook, Mayo Clinic

JSM 2019 Online Program

Activity Details

American Statistical Association