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All Times EDT

Legend:
CC = Walter E. Washington Convention Center   M = Marriott Marquis Washington, DC
* = applied session       ! = JSM meeting theme

Activity Details


32
Sun, 8/7/2022, 2:00 PM - 3:50 PM CC-142
Nonparametric Methods with High-Dimensional Data — Contributed Papers
Section on Nonparametric Statistics
Chair(s): Xuerong Wen, Missouri University of Science and Technology
2:05 PM Variable Selection Using Kernel Partial Correlation Coefficient Presentation
Zhen Huang, Columbia University; NABARUN DEB, Columbia University; Bodhisattva Sen, Columbia University
2:20 PM WITHDRAWN Dimension Reduction Through Influence Function Methods
Wei Lin, Ohio University; Prabha Shrestha, Drake University
2:35 PM On Forward Sufficient Dimension Reduction for Categorical and Ordinal Responses
Harris Quach, Pennsylvania State University; Bing Li, Penn State University
2:50 PM Accuracy of the Bootstrap and the Normal Approximation in a High-Dimensional Framework
Mayya Zhilova, Georgia Institute of Technology
3:05 PM Adaptive Testing in High Dimension
Runmin Wang, Southern Methodist University; Xiaofeng Shao, University of Illinois at Urbana-Champaign; Yangfan Zhang, University of Illinois at Urbana-Champaign
3:20 PM Plugin Estimation of Smooth Optimal Transport Maps and Wasserstein Distances
Tudor Manole, Carnegie Mellon University; Sivaraman Balakrishnan, Carnegie Mellon University; Jonathan Niles-Weed, New York University; Larry Wasserman, Carnegie Mellon University
3:35 PM An Efficient Computational Method for Causal Inference in High-Dimensional Data: Neighborhood-Based Cross Fitting
Oluwagbenga David Agboola, University of Northern Colorado
 
 

39 * !
Sun, 8/7/2022, 4:00 PM - 5:50 PM CC-206
Advances in Time Series: Statistics Meets Machine Learning — Invited Papers
Section on Statistical Computing, Section on Nonparametric Statistics, Business and Economic Statistics Section
Organizer(s): Piotr Fryzlewicz, London School of Economics
Chair(s): Piotr Fryzlewicz, London School of Economics
4:05 PM Spectral Nonlinear Granger Causality for Multivariate Time Series
Hernando Ombao, King Abdullah University of Science and Technology; Archishman Biswas, King Abdullah University of Science and Technology
4:30 PM Asynchronous MCMC
Yves Atchade, Boston Univeristy
4:55 PM Curriculum Learning in Deep Neural Networks for Financial Forecasting
Allison Koenecke, Cornell University; Amita Gajewar, Microsoft
5:20 PM Blind Source Separation Over Space
QIWEI YAO, London School of Economics
5:45 PM Floor Discussion
 
 

55 * !
Sun, 8/7/2022, 4:00 PM - 5:50 PM CC-102A
Complex Functional and Non-Euclidean Data Analysis — Topic Contributed Papers
Section on Nonparametric Statistics, Section on Statistical Computing, IMS
Organizer(s): Kuang-Yao Lee, Temple University
Chair(s): Solea Eftychia, ENSAI École Nationale de Statistique et Analyse de l'Information
4:05 PM Testing Marginal Homogeneity for Functional Data
Jane-Ling Wang, University of California, Davis; Changbo Zhu, University of California, Davis
4:25 PM Pure Differential Privacy in Functional Data Analysis
Matthew Reimherr, Penn State University; Haotian Lin, Penn State University
4:45 PM Fréchet Single Index Models for Object Response Regression
Alexander Petersen, Brigham Young University; Aritra Ghosal , University of California, Santa Barbara ; Wendy Meiring , University of California Santa Barbara
5:05 PM Functional Sufficient Dimension Reduction Through Average Fréchet Derivatives
Kuang-Yao Lee, Temple University; Lexin Li, University of California, Berkeley
5:25 PM Nonlinear Two-Dimensional PCA
Joni Virta, University of Turku; Andreas Artemiou, Cardiff University
5:45 PM Floor Discussion
 
 

223593
Mon, 8/8/2022, 7:15 AM - 8:30 AM M-Judiciary Square
Nonparametric Statistics Section Business Meeting — Other Cmte/Business
Section on Nonparametric Statistics
Chair(s): Lan Wang, University of Miami
 
 

93 * !
Mon, 8/8/2022, 8:30 AM - 10:20 AM CC-144B
Recent Advances in Statistical Inference on Network Data — Invited Papers
IMS, Section on Nonparametric Statistics, International Indian Statistical Association
Organizer(s): Sharmodeep Bhattacharyya, Oregon State University
Chair(s): Sharmodeep Bhattacharyya, Oregon State University
8:35 AM Manifold Learning for Subsequent Inference
Carey E Priebe, Johns Hopkins University
9:00 AM Edge Differentially Private Estimation in the Network Beta-Model via Jittering and Method of Moments
Jinyuan Chang, Southwestern University of Finance & Economics; Qiao Hu, Southwestern University of Finance & Economics; Eric Kolaczyk, Boston University; QIWEI YAO, London School of Economics; Fengting Yi, Southwestern University of Finance & Economics
9:25 AM Resampling Methods for Networks
Elizaveta Levina, University of Michigan
9:50 AM Efficient Local Change-Point Detection for Complex Networks with Applications
Shirshendu Chatterjee, City University of New York, City College; Sharmodeep Bhattacharyya, Oregon State University
10:15 AM Floor Discussion
 
 

95 * !
Mon, 8/8/2022, 8:30 AM - 10:20 AM CC-151A
Network Data Analysis — Topic Contributed Papers
IMS, Section on Nonparametric Statistics, International Statistical Institute
Organizer(s): Jialiang Li, National University of Singapore
Chair(s): Po-Ling Loh, University of Cambridge
8:35 AM Graphical Continuous Lyapunov Models
Niels Richard Hansen, University of Copenhagen
8:55 AM Subsampling Based Community Detection for Large Networks
Yuguo Chen, University of Illinois at Urbana-Champaign
9:15 AM Continuous Latent Position Network Models
Riccardo Rastelli, University College Dublin; Marco Corneli, Université Côte d'Azur
9:35 AM "The Local Approach to Causal Inference Under Network Interference"
Eric Auerbach, Northwestern University; Max Tabord-Meehan, University of Chicago
9:55 AM Discussant: Jialiang Li, National University of Singapore
10:15 AM Floor Discussion
 
 

106
Mon, 8/8/2022, 8:30 AM - 10:20 AM CC-143C
New Statistical Models for Functional Data/ Longitudinal Data — Topic Contributed Papers
Section on Nonparametric Statistics, Biometrics Section
Organizer(s): Mengying You, University of Pennsylvania
Chair(s): Meng Xu, Regeneron Pharmaceuticals, Inc.
8:35 AM A Nonparametric Mixed-Effects Mixture Model for Patterns of Clinical Measurements Associated with COVID-19
Xiaoran Ma, University of California, Santa Barbara; Wensheng Guo, University of Pennsylvania; Mengyang Gu, University of California, Santa Barbara; Len Usvyat, Fresenius Medical Care; Peter Kotanko, Renal Research Institute; Yuedong Wang, University of California, Santa Barbara
8:55 AM Time-to-Event Analysis with Unknown Time Origins via Longitudinal Biomarker Registration
Tianhao Wang, Rush University Medical Center
9:15 AM Gaussian Copula Function-on-Scalar Regression in Reproducing Kernel Hilbert Space
Haihan Xie, University of Alberta; Linglong Kong, University of Alberta
9:35 AM Constructing Spline State Space Models from Generalized Taylor Expansions
Mengying You, University of Pennsylvania; Wensheng Guo, University of Pennsylvania
9:55 AM Analysis of Multivariate Non-Gaussian Functional Data: A Semiparametric Latent Process Approach
Jiakun Jiang, Center for Statistics and Data Science, Beijing Normal University at Zhuhai; Huazhen Lin, Center of Statistical Research and School of Statistics, SWUFE; Qingzhi Zhong, Center of Statistical Research and School of Statistics, SWUFE; Yi Li , Department of Biostatistics, University of Michigan
10:15 AM Floor Discussion
 
 

107
Mon, 8/8/2022, 8:30 AM - 10:20 PM CC-140A
SPEED: Statistical Methods, Computing, and Applications Part 1 — Contributed Speed
International Society for Bayesian Analysis (ISBA), Section on Nonparametric Statistics, Section on Physical and Engineering Sciences, Section on Statistical Computing, Section on Statistics in Defense and National Security, Section on Statistics in Genomics and Genetics, WNAR
Chair(s): Rui Xie, University of Central Florida
8:35 AM The Role of Berkson Paradox in Significance Testing
Miodrag Lovric, Radford University
8:40 AM The growclusters Package for R
Randall Powers, Bureau of Labor Statistics; Wendy Martinez, Bureau of Labor Statistics; Terrance D Savitsky, U.S. Bureau of Labor Statistics
8:45 AM Analysis of Accelerometer Data from NHANES Database Using Fréchet Single Index Model
Aritra Ghosal , University of California, Santa Barbara ; Wendy Meiring , University of California Santa Barbara ; Alexander Petersen, Brigham Young University; Marcos Matabuena , University of Santiago de Compostela
8:50 AM Double Sampling for Informative Coarsening: Considerations for Bias Reduction and Efficiency Gain
Alex Levis, Harvard T.H. Chan School of Public Health; Rajarshi Mukherjee, Harvard T.H. Chan School of Public Health; Rui Wang, Harvard T.H. Chan School of Public Health; Sebastien Haneuse, Harvard T.H. Chan School of Public Health
8:55 AM Double Machine Learning in a Semiparametric Approach: An Innovative Causal Inference for Observational Studies
Lynda Aouar, University of Northern Colorado
9:00 AM A Comparison of Regression Discontinuity Effect Estimation for Small Samples
Daryl Swartzentruber, The Ohio State University; Eloise E Kaizar, The Ohio State University
9:05 AM Reliability for Binary and Ordinal Data in Forensics
Hina Arora, University of California Irvine; Naomi Kaplan-Damary, Hebrew University; Hal S. Stern, University of California-Irvine
9:10 AM Approaching Supersaturated Screening as a Pilot Experiment
Michael McKibben, NCSU; Jonathan Stallrich, North Carolina State University
9:15 AM Bayesian Modeling of Spatial Molecular Profiling Data at the Single-Cell Level
Jie Yang, The University of Texas at Dallas; Sunyoung Shin, University of Texas at Dallas; Qiwei Li, The University of Texas at Dallas
9:20 AM W-BETEL: Bayesian Exponentially Tilted Empirical Likelihood with Parametric Restriction via a Modified Wasserstein Metric
Abhisek Chakraborty, Texas A & M University; Anirban Bhattacharya, Texas A&M University; Debdeep Pati, Texas A&M University
9:30 AM Interpretable Modeling of Genotype-Phenotype Landscapes with State-of-the-Art Predictive Power
Peter Tonner, National Institute of Standards and Technology; David Ross, National Institute of Standards and Technology; Abe Pressman, National Institute of Standards and Technology
9:35 AM Cybersecurity and Infrastructure Security Agency Enterprise Conceptual Data Model
Swami Natarajan, The MITRE Corporation
9:40 AM MCMC-CE: A Novel Approach for Accurate Estimation of the Distributions of Large Quadratic Forms of Normal Variables
Bich Na Choi, Medical College of Georgia, Augusta University; Yang Shi, Augusta University
9:50 AM Bayesian Iterative Conditional Stochastic Search (BICOSS) for GWAS
Jacob Williams, Virginia Polytechnic Institute and State University; Marco Ferreira, Virginia Tech
9:55 AM A Statistical Framework for Deepfake Detection
Shannon Gallagher, Software Engineering Institute, Carnegie Mellon University; Catherine Bernaciak, Software Engineering Institute, Carnegie Mellon University; Jeffrey Mellon, Software Engineering Institute, Carnegie Mellon University; Dominic Ross, Software Engineering Institute, Carnegie Mellon University
10:00 AM Developing Logistic Regression for the High-Dimensional DNA Methylation Data
Mohamed salem Milad, Arkansas State University
10:05 AM A Survey of Likelihood Ratio Method Development and Implementation AcrossMultiple Forensic Disciplines
Lulu Chen, University of Central Florida; Larry Tang, University of Central Florida; Jonathon Phillips, National Institute of Standards and Technology
10:10 AM Modeling Sparse Data Using MLE with Applications to Microbiome Data
Hani Aldirawi, California State University San Bernardino
10:15 AM Floor Discussion
 
 

118
Mon, 8/8/2022, 10:30 AM - 12:20 PM CC-143B
Recent Advances in Change-Point Analysis — Invited Papers
Section on Nonparametric Statistics, Section on Statistical Learning and Data Science, IMS
Organizer(s): Xiaofeng Shao, University of Illinois at Urbana-Champaign
Chair(s): Zifeng Zhao, University of Notre Dame
10:35 AM Nonparametric Online Change-Point Detection in High Dimensions
Ali Shojaie, University of Washington
11:00 AM Are Deviations in a Gradually Varying Mean Relevant? a Testing Approach Based on Sup-Norm Estimators
Holger Dette, Ruhr University Bochum; Axel Bücher, Heinrich Heine University Düsseldorf; Florian Heinrichs, Ruhr-Universität Bochum
11:25 AM Graph-Based Multiple Change-Point Detection
Yuxuan Zhang, University of California, Davis; Hao Chen, University of California, Davis
11:50 AM Toward Automatic Change-Point Testing and Detection in Time Series via Deep Learning Presentation
Piotr Fryzlewicz, London School of Economics; Jie Li, London School of Economics; Paul Fearnhead, Lancaster University; Tengyao Wang, London School of Economics
12:15 PM Floor Discussion
 
 

124 * !
Mon, 8/8/2022, 10:30 AM - 12:20 PM CC-201
Innovative Development of Semiparametrics for Heterogeneous Causal Effects in Epidemiology — Invited Papers
Section on Statistics in Epidemiology, Section on Nonparametric Statistics, Biometrics Section
Organizer(s): Jiwei Zhao, University of Wisconsin-Madison
Chair(s): Trinetri Ghosh, University of Wisconsin-Madison
10:35 AM Optimal Estimation of Average Treatment Effect on the Treated Under Endogeneous Treatment Assignment
Jiwei Zhao, University of Wisconsin-Madison
11:00 AM Semiparametric Inference for Causal Effects in Graphical Models with Hidden Variables
Ilya Shpitser, Johns Hopkins University; Razieh Nabi, Emory University; Rohit Bhattacharya, Williams College
11:25 AM Heterogeneous Causal Effects Estimation via Semiparametric Bayesian Models
Xinyi Xu, The Ohio State University; Bo Lu, The Ohio State University; Steven MacEachern, The Ohio State University; Ling Wang, Michigan State University; Yuxuan Xin, The Ohio State University; Rui Zhang, The Ohio State University
11:50 AM On the Role of Surrogates in the Efficient Estimation of Treatment Effects with Limited Outcome Data
Xiaojie Mao, Tsinghua University; Nathan Kallus, Cornell University
12:15 PM Floor Discussion
 
 

158
Mon, 8/8/2022, 10:30 AM - 11:15 AM CC-Hall D
SPEED: Statistical Methods, Computing, and Applications Part 2 — Contributed Poster Presentations
International Society for Bayesian Analysis (ISBA), Section on Nonparametric Statistics, Section on Physical and Engineering Sciences, Section on Statistical Computing, Section on Statistics in Defense and National Security, Section on Statistics in Genomics and Genetics
Chair(s): Rui Xie, University of Central Florida
01: The Role of Berkson Paradox in Significance Testing
Miodrag Lovric, Radford University
02: The growclusters Package for R
Randall Powers, Bureau of Labor Statistics; Wendy Martinez, Bureau of Labor Statistics; Terrance D Savitsky, U.S. Bureau of Labor Statistics
03: Analysis of Accelerometer Data from NHANES Database Using Fréchet Single Index Model
Aritra Ghosal , University of California, Santa Barbara ; Wendy Meiring , University of California Santa Barbara ; Alexander Petersen, Brigham Young University; Marcos Matabuena , University of Santiago de Compostela
04: Double Sampling for Informative Coarsening: Considerations for Bias Reduction and Efficiency Gain
Alex Levis, Harvard T.H. Chan School of Public Health; Rajarshi Mukherjee, Harvard T.H. Chan School of Public Health; Rui Wang, Harvard T.H. Chan School of Public Health; Sebastien Haneuse, Harvard T.H. Chan School of Public Health
05: Double Machine Learning in a Semiparametric Approach: An Innovative Causal Inference for Observational Studies
Lynda Aouar, University of Northern Colorado
06: A Comparison of Regression Discontinuity Effect Estimation for Small Samples
Daryl Swartzentruber, The Ohio State University; Eloise E Kaizar, The Ohio State University
07: Reliability for Binary and Ordinal Data in Forensics
Hina Arora, University of California Irvine; Naomi Kaplan-Damary, Hebrew University; Hal S. Stern, University of California-Irvine
08: Approaching Supersaturated Screening as a Pilot Experiment
Michael McKibben, NCSU; Jonathan Stallrich, North Carolina State University
09: Bayesian Modeling of Spatial Molecular Profiling Data at the Single-Cell Level
Jie Yang, The University of Texas at Dallas; Sunyoung Shin, University of Texas at Dallas; Qiwei Li, The University of Texas at Dallas
10: W-BETEL: Bayesian Exponentially Tilted Empirical Likelihood with Parametric Restriction via a Modified Wasserstein Metric
Abhisek Chakraborty, Texas A & M University; Anirban Bhattacharya, Texas A&M University; Debdeep Pati, Texas A&M University
11: Interpretable Modeling of Genotype-Phenotype Landscapes with State-of-the-Art Predictive Power
Peter Tonner, National Institute of Standards and Technology; David Ross, National Institute of Standards and Technology; Abe Pressman, National Institute of Standards and Technology
12: Cybersecurity and Infrastructure Security Agency Enterprise Conceptual Data Model
Swami Natarajan, The MITRE Corporation
13: MCMC-CE: A Novel Approach for Accurate Estimation of the Distributions of Large Quadratic Forms of Normal Variables
Bich Na Choi, Medical College of Georgia, Augusta University; Yang Shi, Augusta University
14: Taking PDE Solutions from Low-Fidelity to High-Fidelity Using Bayesian Dynamic Function on Function Regression
Marie Tuft, Sandia National Laboratories; Daniel Ries, Sandia National Labs
15: Bayesian Iterative Conditional Stochastic Search (BICOSS) for GWAS
Jacob Williams, Virginia Polytechnic Institute and State University; Marco Ferreira, Virginia Tech
16: A Statistical Framework for Deepfake Detection
Shannon Gallagher, Software Engineering Institute, Carnegie Mellon University; Catherine Bernaciak, Software Engineering Institute, Carnegie Mellon University; Jeffrey Mellon, Software Engineering Institute, Carnegie Mellon University; Dominic Ross, Software Engineering Institute, Carnegie Mellon University
17: Multi-Omics Integrative Analysis for Incomplete Data Using Weighted P-Value Adjustment Approaches
Wenda Zhang, University of South Carolina
18: Developing Logistic Regression for the High-Dimensional DNA Methylation Data
Mohamed salem Milad, Arkansas State University
19: A Survey of Likelihood Ratio Method Development and Implementation AcrossMultiple Forensic Disciplines
Lulu Chen, University of Central Florida; Larry Tang, University of Central Florida; Jonathon Phillips, National Institute of Standards and Technology
20: Modeling Sparse Data Using MLE with Applications to Microbiome Data
Hani Aldirawi, California State University San Bernardino
 
 

203
Mon, 8/8/2022, 2:00 PM - 3:50 PM CC-155
Advances in Nonparametric Testing — Contributed Papers
Section on Nonparametric Statistics
Chair(s): Wanjie Wang, National University of Singapore
2:05 PM Exact Multivariate Two-Sample Density-Based Empirical Likelihood Ratio Tests Applicable to Retrospective and Group Sequential Studies
Li Zou, California State University, East Bay; Albert Vexler, The State University of New York at Buffalo; Gregory Gurevich, Shannon College of Engineering
2:20 PM Power-Enhanced Simultaneous Test of High-Dimensional Mean Vectors and Covariance Matrices with Application to Gene-Set Testing
Xiufan Yu, University of Notre Dame; Danning Li, Northeast Normal University; Lingzhou Xue, Penn State University and National Institute of Statistical Sciences; Runze Li, Penn State University
2:35 PM Nonparametric Tests for Detection of High-Dimensional Outliers
Reza Modarres, George Washington University
2:50 PM Independence Testing with Entropy Regularized Optimal Transport
Lang Liu, University of Washington; Soumik Pal, University of Washington; Zaid Harchaoui, University of Washington
3:05 PM WITHDRAWN Selection of Central Matrix for Dimension Reduction Based on Hypothesis Testing and Transformation
Prabha Shrestha, Drake University; Wei Lin, Ohio University; son nguyen, Bryant University
3:20 PM Floor Discussion
 
 

234 !
Tue, 8/9/2022, 8:30 AM - 10:20 AM CC-102A
New Challenges in Statistical Learning and Inference for Complex Data — Topic Contributed Papers
Section for Statistical Programmers and Analysts, Section on Statistical Learning and Data Science, Section on Nonparametric Statistics, Section on Statistical Computing
Organizer(s): Ganggang Xu, University of Miami
Chair(s): Hou-Cheng Yang, U.S. Food and Drug Administration
8:35 AM Nonparametric Comparison of Time Series via Quantile Periodograms
Lei Jin, Texas A&M University - Corpus Christi
8:55 AM Jointly Modeling and Clustering Tensors in High Dimensions
Biao Cai, Yale University; Emma Jingfei Zhang, University of Miami; Will Wei Sun, Purdue University
9:15 AM On Deep Instrumental Variables Estimate
Ruiqi Liu, Texas Tech University; Zuofeng Shang, New Jersey Institute of Technology; Guang Cheng, Purdue University
9:35 AM Calibrating Multi-Dimensional Complex ODE from Noisy Data via Deep Neural Networks
Kexuan Li Li, Worcester Polytechnic Institute; Fangfang Wang, Worcester Polytechnic Institute; Ruiqi Liu, Texas Tech University; Fan Yang, Eli Lilly and Company; Zuofeng Shang, New Jersey Institute of Technology
9:55 AM Model-Assisted Uniformly Honest Inference for Optimal Treatment Regimes in High Dimension
Yunan Wu, University of Taxas at Dallas; Lan Wang, University of Miami; Haoda Fu, Eli Lilly and Company
10:15 AM Floor Discussion
 
 

235 !
Tue, 8/9/2022, 8:30 AM - 10:20 AM CC-144C
Recent Advancements in Nonparametric and Semiparametric Methodologies and Their Applications — Topic Contributed Papers
ENAR, Section on Nonparametric Statistics, Section on Statistical Learning and Data Science
Organizer(s): Trinetri Ghosh, University of Wisconsin-Madison
Chair(s): Shubhadeep Chakraborty, University of Washington
8:35 AM Multiply Robust Estimators in Longitudinal Studies with Missing Data Under Control-Based Imputation
Siyi Liu, North Carolina State University; Shu Yang, North Carolina State University; Yilong Zhang, Merck & Co., Inc.; Frank G. Liu, Merck & Co., Inc
8:55 AM Optimal Estimation of Average Treatment Effect on the Treated Under Endogeneous Treatment Assignment
Trinetri Ghosh, University of Wisconsin-Madison; Menggang Yu, University of Wisconsin-Madison; Jiwei Zhao, University of Wisconsin-Madison
9:15 AM Efficient Surrogate Assisted Inference for Patient-Reported Outcome with Complex Missing Mechanism
Muxuan Liang, University of Florida; Jaeyoung Park, University of Florida; Xiang Zhong, University of Florida; Yingqi Zhao, Fred Hutchinson Cancer Research Center
9:35 AM Causal Effect Estimation in Graphical Models with Unmeasured Confounders
Rohit Bhattacharya, Williams College; Razieh Nabi, Emory University; Ilya Shpitser, Johns Hopkins University
9:55 AM Estimating Longitudinal Causal Effects of Air Pollution Exposures Using Marginal Structural Models
Daniel Malinsky, Columbia University
10:15 AM Floor Discussion
 
 

258 !
Tue, 8/9/2022, 10:30 AM - 12:20 PM CC-206
On Recent Progress in Measuring Dependence and Conditional Dependence — Invited Papers
IMS, Section on Nonparametric Statistics, International Indian Statistical Association
Organizer(s): Bodhisattva Sen, Columbia University
Chair(s): Bodhisattva Sen, Columbia University
10:35 AM Measuring Association/Conditional Association on Topological Spaces Using Kernels and Geometric Graphs
NABARUN DEB, Columbia University; Promit Ghosal, MIT; Bodhisattva Sen, Columbia University
11:00 AM Recent Advances in Applying Floodgate to High-Dimensional Inference
Lucas Janson, Harvard University; Lu Zhang, Harvard University
11:25 AM On Chatterjee's Rank Correlation
Fang Han, University of Washington; Zhexiao Lin, University of Washington
11:50 AM Non-Parametric Local Causal Structure Learning
Mona Azadkia, ETH Zürich ; Armeen Taeb, ETH Zürich ; Peter Bühlmann, ETH Zürich
12:15 PM Floor Discussion
 
 

267 * !
Tue, 8/9/2022, 10:30 AM - 12:20 PM CC-102A
Nonparametric Statistics Student Paper Competition Presentations — Topic Contributed Papers
Section on Nonparametric Statistics
Organizer(s): Lingzhou Xue, Penn State University and National Institute of Statistical Sciences
Chair(s): Xiufan Yu, University of Notre Dame
10:35 AM Efficient Targeted Learning of Heterogeneous Treatment Effects for Multiple Subgroups in Observational Studies
Waverly Wei, UC Berkeley; Maya Petersen, UC Berkeley; Mark Van der Laan, University of California Berkeley; Zeyu Zheng, UC Berkeley; Chong Wu, Florida State University; Jingshen Wang, UC Berkeley
10:50 AM Continuous-Time Latent Process Network Models
Peter MacDonald, University of Michigan; Elizaveta Levina, University of Michigan; Ji Zhu, University of Michigan
11:05 AM Tractable and Near-Optimal Adversarial Algorithms for Robust Estimation in Contaminated Gaussian Models
Ziyue Wang, Rutgers University; Zhiqiang Tan, Rutgers University
11:20 AM Hyperbolic Network Latent Space Model with Learnable Curvature
Jinming Li, University of Michigan; Gongjun Xu, University of Michigan; Ji Zhu, University of Michigan
11:35 AM Bootstrap Inference in Functional Linear Regression Models with Scalar Response
Hyemin Yeon, Iowa State University; Daniel John Nordman, Iowa State University; Xiongtao Dai, Iowa State University
11:50 AM Single Index Fréchet Regression for Random Object Responses
Satarupa Bhattacharjee, University of California, Davis ; Hans-Georg Müller, University of California, Davis
12:05 PM Floor Discussion
 
 

307 * !
Tue, 8/9/2022, 2:00 PM - 3:50 PM CC-102A
Deep Learning, Nonparametric Statistics, and Beyond — Invited Papers
Section on Nonparametric Statistics, Section on Statistical Learning and Data Science, Section on Statistical Computing, Caucus for Women in Statistics
Organizer(s): Yufeng Liu, University of North Carolina
Chair(s): Yufeng Liu, University of North Carolina
2:05 PM Kernel Estimation of Bivariate Time-Varying Coefficient Model for Longitudinal Data with Terminal Event
Bin Nan, University of California, Irvine; Yue Wang, University of California, Irvine; Jack Kalbfleisch, University of Michigan
2:30 PM Optimal Omni-Channel Individualized Treatment Rules Under Budget Constraints Using Deep Learning
Qi Xu, Unviersity of California Irvine; Haoda Fu, Eli Lilly and Company; Annie Qu, UC Irvine
2:55 PM Sleep Classification with Artificial Synthetic Imaging Data Using Convolutional Neural Networks
Peter Song, University of Michigan; Lan Shi, University of Michigan ; Marianthie Wank, University of Michigan; Yan Chen, University of Michigan ; Yibo Wang, University of Michigan; Emily Charlotte Hector, North Carolina State University
3:20 PM Population-Level Balance in Signed Networks
Weijing Tang, University of Michigan; Ji Zhu, University of Michigan
3:45 PM Floor Discussion
 
 

321
Tue, 8/9/2022, 2:00 PM - 3:50 PM CC-144C
Nonparametric Inference Under Shape Constraints — Topic Contributed Papers
IMS, Section on Nonparametric Statistics, Royal Statistical Society
Organizer(s): Richard J Samworth, University of Cambridge
Chair(s): Richard J Samworth, University of Cambridge
2:05 PM A Non-Asymptotic Framework for Approximate Message Passing in Spiked Models Presentation
Yuting Wei , University of Pennsylvania
2:25 PM Noisy Linear Inverse Problems Under Convex Constraints: Exact Risk Asymptotics in High Dimensions
Qiyang Han, Rutgers University
2:45 PM Nonparametric Tuning-Free Estimation of S-Shaped Functions
Oliver Feng, University of Cambridge; Yining Chen, London School of Economics; Qiyang Han, Rutgers University; Raymond J. Carroll, Texas A&M University; Richard J Samworth, University of Cambridge
3:05 PM Nonparametric Doubly Robust Testing for Continuous Treatment Effects via Smoothness and via Shape Constraints
Charles Doss, University of Minnesota; Guangwei Weng, University of Minnesota; Lan Wang, University of Miami
3:25 PM Convergence Rates for Estimating Multivariate Scale Mixtures of Uniform Densities
Adityanand Guntuboyina, University of California Berkeley
3:45 PM Floor Discussion
 
 

346
Tue, 8/9/2022, 2:00 PM - 3:50 PM CC-Hall D
Contributed Poster Presentations: Section on Nonparametric Statistics — Contributed Poster Presentations
Section on Nonparametric Statistics
Chair(s): Gyuhyeong Goh, Kansas State University
32: A Comprehensive Competing Risk of Survival Analysis for Kidney Cancer Patients in the United States
Md Roungu Ahmmad, The University of Mississippi Medical Center; Iqbal Mahmud, The University of Texas MD Anderson Cancer Center ; Fazlay Faruque, The University of Mississippi Medical Center, USA; Md Nair Uddin, Registrar Nephrology at Rajshahi Medical College Hospital ; Wondwosen Yimer, University of Mississippi Medical Center, USA; Jeannette Simino, University of Mississippi Medical Center, USA
33: The Sign Test, Paired Data and Asymmetric Dependence: A Cautionary Tale
Alan Hutson, Roswell Park Comprehensive Cancer Center; Han Yu, Roswell Park Comprehensive Cancer Center
34: Improved Aalen–Johansen Estimator Based on Ranked Set Sampling Design
Ying Ma, University of South Florida; Jason Beckstead, University of South Florida; Getachew A. Dagne, University of South Florida; Hamisu M. Salihu, Baylor College of Medicine; Ronee Wilson, University of South Florida; Alfred Mbah, University of South Florida
35: Efficient Estimator of a Functional When Response Is Missing Not at Random
Samidha Sudhakar Shetty, Pennsylvania State University; Yanyuan Ma, Pennsylvania State University; Jiwei Zhao, University of Wisconsin-Madison
 
 

364 * !
Wed, 8/10/2022, 8:30 AM - 10:20 AM CC-151A
Modern Nonparametric Methods, with Applications in Complex Biomedical Data — Invited Papers
Section on Nonparametric Statistics, International Chinese Statistical Association, Section on Statistical Learning and Data Science
Organizer(s): Tracy Ke, Harvard University
Chair(s): Tracy Ke, Harvard University
8:35 AM Distributed Nonparametric Function Estimation: Optimal Rate of Convergence and Cost of Adaptation
Tony Cai, University of Pennsylvania
9:00 AM Fast, Model-Agnostic Confidence Intervals for Feature Importance
Genevera Allen, Rice University; Lili Zheng, Rice University; Luqin Gan, Rice University
9:25 AM Transfer Learning Under High-Dimensional Generalized Linear Models
Yang Feng, New York University; Ye Tian, Columbia University
9:50 AM Statistical Inference for Linear Mediation Models with High-Dimensional Mediators
Runze Li, Penn State University; Xu Guo, Beijing Normal University; Jingyuan Liu, Xiamen University; Mudong Zeng, Penn State University
10:15 AM Floor Discussion
 
 

369 * !
Wed, 8/10/2022, 8:30 AM - 10:20 AM CC-150B
Analysis of Random Objects — Invited Papers
Section on Statistical Computing, Section on Nonparametric Statistics, Section on Statistical Learning and Data Science, IMS
Organizer(s): Lingzhou Xue, Penn State University and National Institute of Statistical Sciences
Chair(s): Qi Zhang, Penn State University
8:35 AM Partially Global Fréchet Regression
Danielle C. Tucker, University of Illinois at Chicago; Yichao C. Wu, University of Illinois at Chicago
8:55 AM Single Index Fréchet Regression
Hans-Georg Müller, University of California, Davis ; Satarupa Bhattacharjee, University of California, Davis
9:15 AM Dimension Reduction and Data Visualization for Fréchet Regression
Qi Zhang, Penn State University; Lingzhou Xue, Penn State University and National Institute of Statistical Sciences; Bing Li, Penn State University
9:35 AM Functional Models for Time-Varying Random Objects and Dynamic Networks
Paromita Dubey, University of Southern California; Hans-Georg Müller, University of California, Davis
9:55 AM Nonlinear Sufficient Dimension Reduction for Distributional Data
Qi Zhang, Penn State University; Lingzhou Xue, Penn State University and National Institute of Statistical Sciences; Bing Li, Penn State University
10:15 AM Floor Discussion
 
 

373 * !
Wed, 8/10/2022, 8:30 AM - 10:20 AM CC-159AB
Recent Advances in Complex and High-Dimensional Data — Topic Contributed Papers
IMS, Section on Nonparametric Statistics, Section on Statistical Learning and Data Science
Organizer(s): Shuheng Zhou, University of California, Riverside
Chair(s): Min Xu, Rutgers University
8:35 AM Differentially Private Inference via Noisy Optimization
Po-Ling Loh, University of Cambridge; Marco Avella Medina, Columbia University; Casey Bradshaw, Columbia University
8:55 AM High-Dimensional Changepoint Estimation with Heterogeneous Missingness
Tengyao Wang, London School of Economics
9:15 AM Guaranteed Functional Tensor Singular Value Decomposition
Anru Zhang, Duke University; Rungang Han, Duke University; Pixu Shi, Duke University
9:35 AM Leave-One-Out Singular Subspace Perturbation Analysis for Spectral Clustering
Harrison Zhou, Yale University
9:55 AM Concentration of Measure Bounds for Matrix-Variate Data with Missing Values
Shuheng Zhou, University of California, Riverside
10:15 AM Floor Discussion
 
 

402 *
Wed, 8/10/2022, 10:30 AM - 12:20 PM CC-154B
Advances in Statistical Methods for Wearable and Mobile Health Data Analysis — Invited Papers
Biometrics Section, Section on Nonparametric Statistics, ENAR
Organizer(s): Ekaterina Smirnova, Virginia Commonwealth University
Chair(s): Ekaterina Smirnova, Virginia Commonwealth University
10:35 AM Functional Data Methods for Wearable Device Data
Jeff Goldsmith, Columbia University
10:55 AM Associating Objectively Measured Multiday Diurnal Activity Patterns with Scalar Outcomes
Andrew Leroux, University of Colorado
11:15 AM Fast Multilevel Functional Principal Component Analysis
Erjia Cui, Johns Hopkins University ; Ruonan Li, North Carolina State University; Ciprian M. Crainiceanua, Johns Hopkins University; Luo Xiao, North Carolina State University
11:35 AM Treatment Effect Estimation of Multiday Activity Distribution Under Random Assignments
Jingru Zhang, University of Pennsylvania; Haochang Shou, University of Pennsylvania; Hongzhe Lee, University of Pennsylvania
11:55 AM Optimal Adaptive Interventions with Unobserved Treatment Fatigue
Joseph Lawson, Duke University; Eric Laber, Duke University; Min Qian, Columbia Universityh
12:15 PM Floor Discussion
 
 

404 * !
Wed, 8/10/2022, 10:30 AM - 12:20 PM CC-204B
Gaussian Process Models Over Non-Euclidean Domains — Invited Papers
International Society for Bayesian Analysis (ISBA), IMS, Section on Nonparametric Statistics
Organizer(s): Didong Li, Princeton University
Chair(s): Abhi Datta, Johns Hopkins University
10:35 AM Inference for Gaussian Processes on Compact Riemannian Manifold
Didong Li, Princeton University; Wenpin Tang, Columbia University; Sudipto Banerjee, UCLA
11:05 AM Inferring Manifolds from Noisy Data Using Gaussian Processes
Nan Wu, Duke University; David Dunson, Duke University
11:35 AM Nonparametric Multi-Shape Modeling with Uncertainty Quantification
Hengrui Luo, Lawrence Berkeley National Laboratory; Justin Strait, Los Alamos National Laboratory
12:05 PM Floor Discussion
 
 

408 * !
Wed, 8/10/2022, 10:30 AM - 12:20 PM CC-144C
Recent Advances in Statistical Machine Learning — Topic Contributed Papers
Section for Statistical Programmers and Analysts, Section on Statistical Learning and Data Science, Section on Nonparametric Statistics, International Chinese Statistical Association
Organizer(s): Guan Yu, University of Pittsburgh
Chair(s): Gen Li, University of Michigan
10:35 AM Locally Weighted Nearest Neighbor Classifier
Guan Yu, University of Pittsburgh; Xingye Qiao, Binghamton University
10:55 AM Contextual Dynamic Pricing with Unknown Noise
Yiyun Luo, UNC; Will Wei Sun, Purdue University; Yufeng Liu, University of North Carolina
11:15 AM Optimal and Safe Estimation for High-Dimensional, Semi-Supervised Learning
Yang Ning, Cornell University
11:35 AM Learning Acceptance Regions for Many Classes with Anomaly Detection
Zhou Wang, Binghamton University; Xingye Qiao, Binghamton University
11:55 AM Floor Discussion
 
 

425
Wed, 8/10/2022, 10:30 AM - 12:20 PM CC-203AB
Nonparametric Methods for Dependent Data — Contributed Papers
Section on Nonparametric Statistics
Chair(s): Md Jobayer Hossain, Nemours Children's Health
10:35 AM Dimension-Agnostic Change Point Testing and Estimation
Hanjia Gao, University of Illinois at Urbana-Champaign; Runmin Wang, Southern Methodist University; Xiaofeng Shao, University of Illinois at Urbana-Champaign
10:50 AM L2 Inference for Change Points in High-Dimensional Time Series via a Two-Way MOSUM Presentation
Jiaqi Li, Washington University in St. Louis; Likai Chen, Washington University in Saint Louis; Weining Wang, University of York; Wei Biao Wu, University of Chicago
11:05 AM Tilted Density Function Estimation: On the Bickel-Rosenblatt Test for Nonlinear Autoregressive Models
Yan Su, Wright State University; Shuxia Sun, Wright State University; Fuxia Cheng, Illinois State University
11:20 AM Prediction and Uncertainty Quantification of Non-Gaussian Spatial Processes with Applications to Large-Scale Flooding in Urban Areas.
Sweta Rai, Colorado School of Mines
11:35 AM Sample Splitting Based Inference for Multi-Dimensional Parameter in Time Series
Yi Zhang, University of Illinois at Urbana-Champaign; Xiaofeng Shao, University of Illinois at Urbana-Champaign
11:50 AM Inference for Dependent Error Functional Data with Application to Event Related Potentials
Kun Huang, Tsinghua University; Sijie Zheng, Tsinghua University; Lijian Yang, Tsinghua University
12:05 PM Modeling Longitudinal Skewed Functional Data
Mohammad Samsul Alam, North Carolina State University; Ana-Maria Staicu, North Carolina State University
 
 

455 * !
Wed, 8/10/2022, 2:00 PM - 3:50 PM CC-151A
Learning Under Nonstationarity — Invited Papers
Section on Statistical Learning and Data Science, Section on Nonparametric Statistics, Section on Statistical Computing
Organizer(s): Piotr Fryzlewicz, London School of Economics
Chair(s): David Matteson, Cornell University
2:05 PM Nonstationary Reinforcement Learning Without Prior Knowledge: An Optimal Black-Box Approach Presentation
Chen-Yu Wei, University of Southern California; Haipeng Luo, University of Southern California
2:25 PM Testing Nonstationary and Policy Optimization in Reinforcement Learning
Chengchun Shi, London School of Economics and Political Science; Mengbing Li, University of Michigan; Zhenke Wu, University of Michigan, Ann Arbor; Piotr Fryzlewicz, London School of Economics
2:45 PM A Similarity Measure for Second-Order Properties of Nonstationary Functional Time Series with Applications to Clustering and Testing
Anne van Delft, Columbia University; Holger Dette, Ruhr University Bochum
3:05 PM Bandit Learning with Endogenous Drift
assaf zeevi, columbia university
3:25 PM Discussant: Piotr Fryzlewicz, London School of Economics
3:45 PM Floor Discussion
 
 

457 * !
Wed, 8/10/2022, 2:00 PM - 3:50 PM CC-151B
Conformal Prediction, Semiparametric Statistics, and Causal Inference — Invited Papers
IMS, Section on Nonparametric Statistics
Organizer(s): Arun K Kuchibhotla, Carnegie Mellon University; Eric J Tchetgen Tchetgen, University of Pennsylvania; Yachong Yang, University of Pennsylvania
Chair(s): Oliver Dukes, University of Pennsylvania
2:05 PM Conformal Inference of Counterfactuals and Individual Treatment Effects
Lihua Lei, Stanford University; Emmanuel Candès, Stanford University
2:25 PM Inference for Sensitivity Parameters in Causal Inference
Larry Wasserman, Carnegie Mellon University
2:45 PM Doubly Robust Prediction Under Covariate Shift
Yachong Yang, University of Pennsylvania; Eric J Tchetgen Tchetgen, University of Pennsylvania; Arun K Kuchibhotla, Carnegie Mellon University
3:05 PM Testing the Stability of a Black Box Algorithm
Byol Kim, University of Washington; Rina Foygel Barber, University of Chicago
3:25 PM Discussant: James M Robins, Harvard University
3:45 PM Floor Discussion
 
 

468 * !
Wed, 8/10/2022, 2:00 PM - 3:50 PM CC-203AB
Statistical Challenges and Novel Methodologies for Analyzing Health Outcomes — Topic Contributed Papers
Section on Nonparametric Statistics, SSC (Statistical Society of Canada), Lifetime Data Science Section
Organizer(s): Li-Shan Huang, National Tsing Hua University
Chair(s): Li-Shan Huang, National Tsing Hua University
2:05 PM Considerations for Primary and Secondary Health Outcomes in Clinical Trials: From Design to Analysis
Howard D Sesso, Brigham and Women's Hospital
2:25 PM Analysis of Large Data with Subsampling
Zhezhen Jin, Columbia University; Yujing Yao, Columbia University
2:45 PM Challenges and Strategies in Analyses of Health Administrative Data
Joan X. Hu, Simon Fraser University; Rhonda J. Rosychuk, University of Alberta; Angela Chen, Simon Fraser University; Yi Xiong, Fred Hutchinson Cancer Research Center
3:05 PM Iterated Data Sharpening
W.John Braun, UBC; Hanxiao Chen, Boston University
3:25 PM Power Analyses for Stepped Wedge Designs with Multivariate Continuous Outcomes
Monica Taljaard, Ottawa Hospital Research Institute; Fan Li, Yale School of Public Health; Kendra Plourde, Yale University
3:45 PM Floor Discussion
 
 

501
Thu, 8/11/2022, 8:30 AM - 10:20 AM CC-143B
Bayesian Penalized Likelihood Methods for Gaussian Graphical Models — Invited Papers
Section on Bayesian Statistical Science, Section on Nonparametric Statistics, Section on Statistical Computing
Organizer(s): Abhra Sarkar, The University of Texas at Austin
Chair(s): Veronica J Berrocal, University of California
8:35 AM New Directions in Bayesian Shrinkage for Structure Learning
Ksheera Sagar K. N. , Purdue University; Sayantan Banerjee, Indian Institute of Management Indore; Jyotishka Datta, Virginia Tech; Anindya Bhadra, Purdue University
9:05 AM Bayesian Scalable Precision Factor Analysis for Massive Sparse Gaussian Graphical Models
Noirrit Kiran Chandra, The University of Texas at Austin; Abhra Sarkar, The University of Texas at Austin; Peter Mueller, The University of Texas at Austin
9:35 AM Quantile Graphical Models: A Bayesian Approach
Nilabja Guha, University of Massachusetts Lowell; Veera Baladandayuthapani, University of Michigan; Bani Mallick, Texas A&M University
10:05 PM Floor Discussion
 
 

521
Thu, 8/11/2022, 8:30 AM - 10:20 AM CC-140B
Statistical Methods for Functional Data — Contributed Papers
Section on Nonparametric Statistics
Chair(s): Shangyuan Ye, Oregon Health and Science University
8:35 AM Spline Estimation of Functional Principal Components via Manifold Conjugate Gradient Algorithm
Hanxuan Ye, Texas A&M University ; Shiyuan He, Renmin University of China ; Kejun He, Renmin University of China
8:50 AM Hypotheses Testing of Functional Principal Components
Zening Song, Tsinghua University; Lijian Yang, Tsinghua University; Yuanyuan Zhang, Soochow University
9:05 AM Pointwise Depth for Functional Outlier Detection
Cristian Felipe Jimenez Varon, King Abdullah University of Science and Technology (KAUST); Ying Sun, KAUST; Fouzi Harrou, King Abdullah University of Science and Technology (KAUST)
9:20 AM Robust Interval Testing Procedure for Functional Data Analysis
Mengkun Chen, Virginia Tech; Inyoung Kim, Virginia Tech
9:35 AM Topological Hidden Markov Models
Adam B Kashlak, University of Alberta; Giseon Heo, University of Alberta; Prachi Loliencar, University of Alberta
9:50 AM Gradient Synchronization for Multivariate Functional Data: Application to Brain Connectivity
Yaqing Chen, University of California, Davis; Shu-Chin Lin, University of California, Davis; Yang Zhou, University of California, Davis; Owen Carmichael, Louisiana State University; Hans-Georg Müller, University of California, Davis ; Jane-Ling Wang, University of California, Davis
10:05 AM Sparse Functional Concurrent Regression with Instrumental Variables
Justin Petrovich, Saint Vincent College; Bahaeddine Taoufik, Saint Joseph's University; Zachary Davis, Saint Vincent College
 
 

530 !
Thu, 8/11/2022, 10:30 AM - 12:20 PM CC-203AB
Recent Advances in Rank-Based Inference — Invited Papers
Section on Nonparametric Statistics
Organizer(s): Marc Hallin, Université libre de Bruxelles
Chair(s): Marc Hallin, Université libre de Bruxelles
10:35 AM On Universally Consistent and Fully Distribution-Free Rank Tests of Vector Independence
Hongjian Shi, Technical University of Munich; Marc Hallin, Université libre de Bruxelles; Mathias Drton, Technical University of Munich; Fang Han, University of Washington
11:00 AM Nonparametric Multiple-Output Center-Outward Quantile Regression
Eustasio del Barrio, University of Valladolid; Alberto Gonzalez-Sanz, University of Valladolid and Université de Toulouse; Marc Hallin, Université libre de Bruxelles
11:25 AM Ranks, Signs, and Quantiles for Directional Databased on Measure Transportation
Hang Liu, University of Science and Technology of China; Marc Hallin, Université libre de Bruxelles; Thomas Verdebout, Université Libre de Bruxelles
11:50 AM Ancillarity and Semiparametric Efficiency
Marc Hallin, Université libre de Bruxelles; Bas Werker, Tilburg University; Bo Zhou, Durham University
12:15 PM Floor Discussion
 
 

545 !
Thu, 8/11/2022, 10:30 AM - 12:20 PM CC-154A
Statistical Advances in Learning Large-Scale Networks from Massive Data Sets — Topic Contributed Papers
Section on Statistical Learning and Data Science, Section on Nonparametric Statistics, IMS
Organizer(s): Lili Zheng, Rice University
Chair(s): Genevera Allen, Rice University
10:35 AM Learning Point Process Network Models with Timing Uncertainty
Yao Xie, Georgia Institute of Technology; Xiuyuan Cheng, Duke University; Tingnan Gong, Georgia Institute of Technology
10:55 AM Statistical Inference for Networks of High-Dimensional Point Processes
Mladen Kolar, The University of Chicago ; Xu Wang, University of Washington; Ali Shojaie, University of Washington
11:15 AM Learning Gaussian Graphical Models with Differing Pairwise Sample Sizes Presentation
Lili Zheng, Rice University; Genevera Allen, Rice University
11:35 AM Learning Latent Causal Graphs via Mixture Oracles
Pradeep Ravikumar, Carnegie Mellon University
11:55 AM Frequency-Domain Graphical Modeling of Large-Scale Time Series
Sumanta Basu, Cornell University; Navonil Deb, Cornell University
12:15 PM Floor Discussion
 
 

558
Thu, 8/11/2022, 10:30 AM - 12:20 PM CC-204C
Semi- or Nonparametric Modeling for Data with Complex Structure — Contributed Papers
Section on Nonparametric Statistics
Chair(s): Lasanthi Watagoda, Appalachian State University
10:35 AM Undersmoothing and Sample Splitting for Estimating Nonparametric Functionals
Sean McGrath, Harvard University; Rajarshi Mukherjee, Harvard T.H. Chan School of Public Health
10:50 AM Uniform Consistency and Lower Bounds for Estimating Nonparametric Mixture Models
Bryon Aragam, University of Chicago
11:05 AM Smooth Tensor Estimation with Unknown Permutations
Chanwoo Lee, University of Wisconsin - Madison; Miaoyan Wang, University of Wisconsin-Madison
11:20 AM MARS via LASSO
Dohyeong Ki, University of California at Berkeley; Billy Fang, Google LLC; Adityanand Guntuboyina, University of California Berkeley
11:35 AM Multivariate Conditional Independence Testing for Microbial Network Construction
Hongjiao Liu, University of Washington; Yunhua Xiang, University of Washington; Michael C. Wu, Fred Hutchinson Cancer Research Center
11:50 AM Comparison of Chi-Square Tests Computed by Multiple Statistical Programs for Survey Analyses
Li-Yen Rebecca Hu, National Center for Health Statistics; Yulei He, National Center for Health Statistics; Katherine E. Irimata, National Center for Health Statistics
11:55 AM Floor Discussion