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
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