Name: 2020 Joint Statistical Meetings
Start: 2020-08-02T07:00:00+00:00
End: 2020-08-06

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* = applied session ! = JSM meeting theme

Activity Details

11 *	Mon, 8/3/2020, 10:00 AM - 11:50 AM	Virtual
Statistical Inference for Solar and Geophysical Data — Invited Papers
Section on Physical and Engineering Sciences, Section on Nonparametric Statistics, Astrostatistics Special Interest Group
Organizer(s): Gwendolyn M Eadie, University of Toronto
Chair(s): David van Dyk, Imperial College London
10:05 AM	Multitaper Analysis of High-Q Spectral Peaks and Non-Stationarity in the Geomagnetic Field Over the 400-4000 µHz Band Alan Chave, Woods Hole Oceanographic Institution
10:30 AM	Hitting a Moving Target: Modeling Non-Stationary Relationships in Geomagnetism David Riegert, Queen's University; David J Thomson, Queen's University; Glen Takahara, Queen's University
10:55 AM	Solar Flare Prediction with Machine Learning Yang Chen, University of Michigan
11:20 AM	Effect of Systematic Uncertainties on Density and Temperature Estimates in Coronae of Capella Xixi Yu, Imperial College London; David van Dyk, Imperial College London; David Stenning, Imperial College London; Vinay Kashyap, Center for Astrophysics \| Harvard & Smithsonian; Giulio Del Zanna, Centre for Mathematical Sciences, University of Cambridge
11:45 AM	Floor Discussion

59 * !	Mon, 8/3/2020, 10:00 AM - 2:00 PM	Virtual
Nonparametric Modeling — Contributed Papers
Section on Nonparametric Statistics
Chair(s): Peng Ding, University of California, Berkeley
	Generalized Signed-Rank Estimation for Regression Models with Non-Ignorable Missing Responses Brice Merlin Nguelifack
	Quantile Spatially Varying Coefficient Models Myungjin Kim, Iowa State University; Lily Wang, Iowa State University; Huixia Judy Wang, The George Washington University
	A Regression Approach to Expected Shortfall Yuanzhi Li, University of Michigan; Xuming He, University of Michigan
	Population Size Estimation Under Partial Identification Manjari Das, Carnegie Mellon University; Edward Kennedy, Carnegie Mellon University
	Minimax Optimal Approaches to the Label Shift Problem Subha Maity, University of Michigan; Yuekai Sun, Dept of Statistics, University of Michigan, Ann Arbor; Moulinath Banerjee, University of Michigan, Ann Arbor
	Modeling of Count Data Subject to Measurement Error and Boundary Constraints Cornelis J. Potgieter, Texas Christian University
	The Asymptotic Distribution of a Nonparametric Two Sample Order Free Trend Test Yishi Wang, University of North Carolina Wilmington

60 * !	Mon, 8/3/2020, 10:00 AM - 2:00 PM	Virtual
Nonparametrics in High-Dimensional Data — Contributed Papers
Section on Nonparametric Statistics
Chair(s): Yuanzhi Li, University of Michigan
	Exponential Family Graphical Models with Correlated Replicates and Unmeasured Confounders Yanxin Jin, University of Michigan, Ann Arbor; Kean Ming Tan, University of Michigan, Ann Arbor; Yang Ning, Cornell University
	Low Rank Approximation for Smoothing Spline via Eigensystem Truncation Danqing Xu, Columbia University; Yuedong Wang, UC Santa Barbara
	Hypothesis Testing in High-Dimensional Partially Linear Single Index Models Shijie Cui; Xu Guo, Beijing Normal University; Runze Li, Pennsylvania State University
	Hypothesis Testing of a Constant Regression Function and Test-Based Screening Presentation Won Chul Song
	A Hybrid Omnibus Test in Generalized Semiparametric Single Index Models with High-Dimensional Covariate Sets Inyoung Kim, Virginia Tech; Yangyi Xu, Virginia Tech; Raymond Carroll, Texas A&M
	False Discovery Rate Control via Data Splitting Chenguang Dai, Harvard University; Buyu Lin, University of Science and Technology of China; Xin Xing, Harvard University; Jun S. Liu, Harvard University

103 * !	Mon, 8/3/2020, 1:00 PM - 2:50 PM	Virtual
Semiparametric Inference with High-Dimensional and Complex Data — Invited Papers
ENAR, IMS, Section on Nonparametric Statistics
Organizer(s): Zhiqiang Tan, Rutgers University
Chair(s): TBD TBD, TBD
1:05 PM	A Unifying Approach for Doubly-Robust L1-Regularized Estimation of Causal Contrasts Ezequiel Smucler, Universidad Torcuato Di Tella; James Robins, Harvard T.H Chan School of Public Health; Andrea Rotnitzky, Universidad Torcuato Di Tella
1:30 PM	Convex Loss Versus Semiparametric Likelihood Machine Learning Estimates Michael R. Kosorok, University of North Carolina at Chapel Hill
1:55 PM	Limit Distribution Theory for Multiple Isotonic Regression Qiyang Han, Rutgers University; Cun-Hui Zhang, Rutgers University
2:20 PM	Discussant: Zhiqiang Tan, Rutgers University
2:45 PM	Floor Discussion

135 * !	Tue, 8/4/2020, 10:00 AM - 11:50 AM	Virtual
Move Non/Semiparametrics Forward in Causal Inference, Missing Data Analysis, and Data Integration — Invited Papers
Section on Nonparametric Statistics, Section on Statistical Learning and Data Science, International Chinese Statistical Association
Organizer(s): Jiwei Zhao, State University of New York at Buffalo
Chair(s): Jiwei Zhao, State University of New York at Buffalo
10:05 AM	Combining Multiple Observational Data Sources to Estimate Causal Effects Peng Ding, University of California, Berkeley; Shu Yang, North Carolina State University
10:30 AM	Learning When-to-Treat Policies Stefan Wager, Stanford University; Xinkun Nie, Stanford University; Emma Brunskill, Stanford University
10:55 AM	A Bayesian Nonparametric Approach for Estimating the Causal Effect of a Time-Varying/Dynamic Treatment Michael Daniels, University of Florida; Kumaresh Dhara, University of Florida; Jason Roy, Rutgers University
11:20 AM	Minimax Optimal Estimation of Heterogeneous Treatment Effects Edward Kennedy, Carnegie Mellon University
11:45 AM	Floor Discussion

189 * !	Tue, 8/4/2020, 10:00 AM - 2:00 PM	Virtual
Nonparametric Methods in Big or Complex Data — Contributed Papers
Section on Nonparametric Statistics
Chair(s): Kusha Mohammadi, Univeristy of Texas- Health Science Center at Houston
	Estimating Treatment Effect in Electronic Health Records (EHRs) with Differential Number and Spacing of the Follow-Ups Visits Between the Treatment Groups: A 3-Step Novel Approach Yingjie Weng, Stanford Univ, School of Medicine; Manisha Desai, Stanford University
	Concurrent Object Regression (CORE) with Euclidean Predictors Satarupa Bhattacharjee, University of California; Hans-Georg Müller, University of California, Davis
	A Cech-Type Simplicial Complex for Extending Correlation Networks Benjamin Roycraft, UC Davis
	Asymptotics of Lower Dimensional Zero Density Regions Hengrui Luo, The Ohio State University; Steve MacEachern, The Ohio State University; Mario Peruggia, The Ohio State University
	Graph-Based Compressive High-Dimensional Testing Kaijun Wang, Fred Hutchinson Cancer Research Center
	A Single Index Model for Multiple-Infection Group Testing Data Yizeng Li, University of South Carolina; Dewei Wang, University of South Carolina; Qi Zheng, University of Louisville
	Spatiotemporal Autoregressive Partially Linear Varying Coefficient Models Shan Yu, Iowa State University; Lily Wang, Iowa State University; Lei Gao, Iowa State University

264 * !	Tue, 8/4/2020, 1:00 PM - 2:50 PM	Virtual
New Statistical Methods for Longitudinal Data Analysis — Topic Contributed Papers
Section on Nonparametric Statistics, International Chinese Statistical Association, IMS
Organizer(s): Anne Buu, UNIVERSITY OF TEXAS HLTH SCI CTR HOUSTON
Chair(s): Runze Li, Pennsylvania State University
1:05 PM	Modeling of Business Reopening when Facing SARS-CoV-2 Pandemic: Protection, Cost and Risk Hongyu Miao, UT Health At Houston; Chengxue Zhong, UTHealth
1:25 PM	Analysis of Longitudinal Categorical Data Using a Continuous Time Semi-Markov Chain Model Kusha Mohammadi, Univeristy of Texas- Health Science Center at Houston; Wenyaw Chan, University of Texas-Health Science Center at Houston; Valory N Pavlik, Baylor College of Medicine
1:45 PM	Multivariate Partial Linear Varying-Coefficient Model for G×E Studies with Longitudinal Traits Yuehua Cui, Michigan State University
2:05 PM	Floor Discussion

282 * !	Wed, 8/5/2020, 10:00 AM - 11:50 AM	Virtual
Complex Functional Data Analysis with Biomedical Applications — Invited Papers
Section on Nonparametric Statistics, Biometrics Section, IMS
Organizer(s): Kuang-Yao Lee, Temple University
Chair(s): Ana Kenney, Pennsylvania State University
10:05 AM	Domain Selection for Functional Linear Models: A Dynamic RKHS Approach Jane-Ling Wang, UC Davis
10:30 AM	On Sufficient Graphical Models Bing Li, Pennsylvania State University; Kyongwon Kim, Pennsylvania State University
10:55 AM	Nonparametric Functional Graphical Models Kuang-Yao Lee, Temple University; Lexin Li, University of California, Berkeley; Bing Li, Pennsylvania State University; Hongyu Zhao, Yale University
11:20 AM	Correcting Batch Effects in the Covariance Structures of Spatially-Dependent Multivariate Object Andrew Chen, University of Pennsylvania; Russell Shinohara, University of Pennsylvania; Haochang Shou, University of Pennsylvania
11:45 AM	Floor Discussion

283	Wed, 8/5/2020, 10:00 AM - 11:50 AM	Virtual
Theoretical Advances in Deep Learning — Invited Papers
IMS, Section on Nonparametric Statistics, International Indian Statistical Association
Organizer(s): Po-Ling Loh, UW-Madison
Chair(s): Po-Ling Loh, UW-Madison
10:05 AM	Good Linear Classifiers Are Abundant in the Interpolating Regime Jason Klusowski, Rutgers University; Ryan Theisen, UC Berkeley; Michael Mahoney, UC Berkeley
10:20 AM	Multiple Descent Phenomenon, Risk of Minimum-Norm Interpolants and Restricted Lower Isometry of Kernels Tengyuan Liang, University of Chicago
10:35 AM	Polylogarithmic Width Suffices for Gradient Descent to Achieve Arbitrarily Small Test Error with Shallow ReLU Networks Matus Telgarsky, University of Illinois - Urbana Champaign
10:50 AM	Discussant: Edgar Dobriban, University of Pennsylvania
11:05 AM	Discussant: Daniel Hsu, Columbia University
11:20 AM	Discussant: Mikhail Belkin, Ohio State University
11:30 AM	Floor Discussion

303 !	Wed, 8/5/2020, 10:00 AM - 11:50 AM	Virtual
Recent Developments on Order-Related Designs and Inferences — Topic Contributed Papers
Korean International Statistical Society, Survey Research Methods Section, Section on Nonparametric Statistics
Organizer(s): Xinlei (Sherry) Wang, Southern Methodist University
Chair(s): Johan Lim, Seoul National University
10:05 AM	Robust Confidence Intervals for a Proportion Using Ranked-Set Sampling Presentation Yimin Zhang, Villanova University; Jesse Frey, Villanova University
10:25 AM	An Objective General Index and Its Generalizations Tomonari Sei, The University of Tokyo
10:45 AM	Unbalanced Ranked Set Sampling in CRDs and Its Application to Missing Data from Balanced Design Soohyun Ahn, Ajou University; Xinlei (Sherry) Wang, Southern Methodist University; Johan Lim, Seoul National University
11:05 AM	Sequential Analysis for Testing the Equality of Two Distributions Based on Early Failed Ranked Set Samples Tao Li, Shanghai University of Fianance and Economics
11:25 AM	On the Generalized Isotonic Recursive Partitioning Algorithm Joong-Ho Won, Seoul National University
11:45 AM	Floor Discussion

306	Wed, 8/5/2020, 10:00 AM - 11:50 AM	Virtual
Algorithmic and Inferential Advances in Univariate and Multivariate Tuning-Parameter-Free Nonparametric Procedures — Topic Contributed Papers
Section on Statistical Learning and Data Science, Section on Nonparametric Statistics, IMS
Organizer(s): Charles Doss, University of Minnesota
Chair(s): Guangwei Weng, University of Minnesota
10:05 AM	Multivariate Rank-Based Distribution-Free Nonparametric Testing Using Measure Transportation Bodhisattva Sen, Columbia University; Nabarun Deb, Columbia University
10:25 AM	Likelihood Ratio Tests and Confidence Intervals Based on the Shape Constraint of Concavity Charles Doss, University of Minnesota; Jon Wellner, University of Washington
10:45 AM	Multivariate Adaptation in Log-Concave Density Estimation Arlene K. H. Kim, Korea University; Richard Samworth, University of Cambridge; Oliver Feng, University of Cambridge; Adityanand Guntuboyina, University of California, Berkeley
11:05 AM	Dyadic CART Revisited Sabyasachi Chatterjee, University of Illinois at Urbana-Champai
11:25 AM	Learning Multivariate Log-Concave Densities Ilias Diakonikolas, UW Madison
11:45 AM	Floor Discussion

336 * !	Wed, 8/5/2020, 10:00 AM - 2:00 PM	Virtual
Nonparametric Test in Unusual Data Structure or of Independence — Contributed Papers
Section on Nonparametric Statistics
Chair(s): Yang (Lyric) Liu, Worcester Polytechnic Institute
	The Chi-Square Test of Distance Correlation Cencheng Shen, University of Delaware; Joshua Vogelstein, Johns Hopkins University
	Two-Sample Tests for Object Data with Repeated Measures Jingru Zhang, University of Pennsylvania; Hongzhe Li, University of Pennsylvania; Haochang Shou, University of Pennsylvania
	Fast Computational Algorithms for Large-Scale Distance and Kernel-Based Independence Testing Asmita Roy, Texas A&M university; Shubhadeep Chakraborty, Texas A&M University; Xianyang Zhang, Texas A&M University
	Confidence Intervals for Multiple Isotonic Regression and Other Monotone Models Hang Deng, Rutgers University; Qiyang Han, Rutgers University; Cun-Hui Zhang, Rutgers University
	Extrinsic Spherical Depth in Euclidean Space Seunghee Choi, Florida State University; Victor Patrangenaru, Florida State University

347 * !	Wed, 8/5/2020, 10:00 AM - 2:00 PM	Virtual
Nonparametric Hybrid Methods — Contributed Papers
Section on Nonparametric Statistics
Chair(s): Alexander Giessing, Princeton University
	Mean Shrinkage Estimation for Diagonal Multivariate Natural Exponential Families Nikolas Siapoutis, The Pennsylvania State University; Bharath Kumar Sriperumbudur, The Pennsylvania State University; Donald Richards, The Pennsylvania State University
	Variable Selection for Partially Linear Models via Bayesian Subset Modeling with Diffusing Prior Jia Wang, Penn State University; Runze Li, Pennsylvania State University; Xizhen Cai, Williams College
	Estimation and Inference for Time-Varying Mediation Model with Binary Outcomes Xizhen Cai, Williams College; Ryan Cox, Williams College; Donna L Coffman, Temple University
	Quantile Regression for Asynchronous Longitudinal Data Xuerui Li, University of Michigan, Ann Arbor; Wuhan University, China; Yuanshan Wu, Zhongnan University of Economics and Law, China; Yanyan Liu, Wuhan University, China
	Robust Sufficient Dimension Reduction Hossein Rekabdarkolaee
	Depth and Visualization for Sparse Multivariate Functional Data Zhuo Qu, King Abdullah University of Science and Technology; Marc Genton, KAUST
	Sampling Methods for the Concentration Parameter of the Dirichlet Process Yang (Lyric) Liu, Worcester Polytechnic Institute; Bal Nandram, Worcester Polytechnic Institute
	Poisson Regression with Laplace Measurement Error Shengnan Chen, Kansas State University; Weixing Song, Kansas State University

361	Wed, 8/5/2020, 10:00 AM - 2:00 PM	Virtual
Contributed Poster Presentations: Section on Nonparametric Statistics — Contributed Poster Presentations
Section on Nonparametric Statistics
1:	Monotonic Nonparametric Dose Response Model for Multivariate Endpoints Faten S. Alamri, Virginia Commonwealth University
2:	Extending a Large Dimensional Empirical Likelihood Test to Regression Ye Zhao, Penn State University; Runze Li, Pennsylvania State University; Changcheng Li, Penn State University
3:	Analysis of Composite Mortality and Non-Mortality Outcomes in Stepped Wedge Cluster Randomized Trials Using Simultaneous Quantile Regression Marzana Chowdhury, University of Pennsylvania; Dylan Small, University of Pennsylvania; Scott D. Halpern, University of Pennsylvania; Katherine R. Courtright, University of Pennsylvania; Fan Li, Yale University; Michael O. Harhay, University of Pennsylvania
4:	Predictive Power of Nearest Neighbors Algorithm Under Random Perturbation Yue Xing, Purdue University; Qifan Song, Purdue University; Guang Cheng, Purdue University
5:	Simultaneous Estimation and Variable Selection for Functional Regression Model via Rank-Based Regularization Jieun Park, Auburn University at Montgomery; Ash Abebe, Auburn University; Nedret Billor, Auburn University
6:	A Nonparametric Multiply Robust Multiple Imputation Method for Causal Inference Benjamin Gochanour, University of Oklahoma Health Sciences Center; David Haziza, Université de Montréal; Sixia Chen, University of Oklahoma Health Sciences Center; Laura Beebe, University of Oklahoma Health Sciences Center
7:	Semiparametric Estimation of Missingness Mechanism for Missing Not at Random Data Samidha Sudhakar Shetty, Pennsylvania State University; Yanyuan Ma, The Pennsylvania State University ; Jiwei Zhao, State University of New York at Buffalo
8:	Discrimination of Functional Data by Detecting the Second Moment Structure of Rescaled Functions Shuhao Jiao, KAUST; Hernando Ombao, King Abdullah Univ. of Science and Technology (KAUST)
9:	Quantifying Activity Patterns Using Non-Parametric Approaches in a Ferret Study Thaddeus Haight, Center for Neuroscience and Regenerative Medicine; Susan Schwerin, Uniformed Services University; Sharon Juliano, Uniformed Services University
11:	Decomposition of Multiple Seasonal Components in a Seasonal Adjustment Model Hiromichi Nagao, The University of Tokyo; Tomoya Haba, The University of Tokyo; Shin-ichi Ito, The University of Tokyo
12:	Nonlinear Function on Function Regression using RKHS framework Bahaeddine Taoufik, Saint Joseph's University

392 * !	Wed, 8/5/2020, 1:00 PM - 2:50 PM	Virtual
Big Tensor Data Analysis — Invited Papers
Section on Statistical Learning and Data Science, International Chinese Statistical Association, Section on Nonparametric Statistics, Section on Statistical Computing
Organizer(s): Anru Zhang, University of Wisconsin-Madison
Chair(s): Anru Zhang, University of Wisconsin-Madison
1:05 PM	Tensor Response Regression in the Presence of Heavy Tails Xin Zhang, Florida State University
1:30 PM	Tensor Models for Large, Complex and High-Dimensional Data Shuheng Zhou, University of California, Riverside
1:55 PM	Co-Clustering Tensors Using Fusion Penalties and CP-Decompositions Eric Chi, North Carolina State University
2:20 PM	Duality of Graphical Models and Tensor Networks Elina Robeva, University of British Columbia
2:45 PM	Floor Discussion

403 * !	Wed, 8/5/2020, 1:00 PM - 2:50 PM	Virtual
Sufficient Dimension Reduction and Variable Selection for High-Dimensional Inference — Topic Contributed Papers
Section on Nonparametric Statistics, Section on Statistical Learning and Data Science, International Chinese Statistical Association
Organizer(s): Wenbo Wu, University of Texas at San Antonio
Chair(s): Wenbo Wu, University of Texas at San Antonio
1:05 PM	Principal Asymmetric Least Squares for Sufficient Dimension Reduction Yuexiao Dong, Temple University; Abdul-Nasah Soale, Temple University
1:25 PM	On Sufficient Dimension Reduction for Functional Data via Weak Conditional Moments Jun Song, UNC Charlotte; Bing Li, Pennsylvania State University
1:45 PM	Sufficient Variable Selection via Expected Conditional Hilbert-Schmidt Independence Criterion Chenlu Ke, Virginia Commonwealth University
2:05 PM	On Sufficient Dimension Reduction with Mixture Normally Distributed Predictors Wei Luo, Zhejiang University
2:25 PM	Floor Discussion

413 *	Wed, 8/5/2020, 1:00 PM - 2:50 PM	Virtual
Time Series with a Twist — Topic Contributed Papers
Business and Economic Statistics Section, Section on Nonparametric Statistics, IMS
Organizer(s): David S. Matteson, Cornell University
Chair(s): David S. Matteson, Cornell University
1:05 PM	Simultaneous Transformation and Rounding (STAR) Models for a Time Series of Counts Daniel Kowal, Rice University; Brian King, Rice University
1:25 PM	REMIS: Retrieval from Mixed Sampling Frequency Data: G-Identifiability and Estimation of Regular and Singular VAR(MA) Systems Manfred Deistler, Vienna University of Technology; Philipp Gersing, Vienna University of Technology, Institute for Advanced Studies Vienna
1:45 PM	Assessing Macroeconomic Tail Risks in a Data-Rich Environment Presentation Taeyoung Doh, Federal Reserve Bank of Kansas City; Thomas Cook, Federal Reserve Bank of Kansas City
2:05 PM	Random Forests for Time Series Forecasting Barbara Bailey, San Diego State University
2:25 PM	Floor Discussion

435 * !	Thu, 8/6/2020, 10:00 AM - 11:50 AM	Virtual
Making the Most of Wearable Device Data: Functional Data Approaches — Invited Papers
Biometrics Section, Section on Medical Devices and Diagnostics, Section on Nonparametric Statistics
Organizer(s): Andrew Leroux, Johns Hopkins University
Chair(s): Andrew Leroux, Johns Hopkins University
10:05 AM	Functional Regression with Survey Weights and Its Application to NHANES 2003-2006 Lucia Tabacu, Old Dominion University ; Ekaterina Smirnova, Virginia Commonwealth University ; Andrew Leroux, Johns Hopkins University; Ciprian Crainiceanu , Johns Hopkins University
10:40 AM	Predicting GI Bleeds Using Wearable Device Data Julia Wrobel, Colorado School of Public Health
11:15 AM	Floor Discussion

441 * !	Thu, 8/6/2020, 10:00 AM - 11:50 AM	Virtual
Novel Statistical and Machine Learning Approaches for Business and Financial Services — Topic Contributed Papers
Section on Statistical Computing, Business and Economic Statistics Section, Section on Nonparametric Statistics
Organizer(s): Wei Qian, University of Delaware
Chair(s): Shanshan Ding, University of Delaware
10:05 AM	A Deep Learning Approach to Industry Classification Xiaohang Zhao, University of Delaware; Xiao Fang, University of Delaware; Jing He, University of Delaware; Olivia Sheng, The University of Utah
10:25 AM	Recent Developments on Multivariate Graph Constrained Models Presentation Brad Price, West Virginia University; Ben Sherwood, University of Kansas
10:45 AM	Biconvex Clustering with Adaptive Feature Selection Jason Xu, Duke University
11:05 AM	An Adaptive Algorithm to Multi-Armed Bandit Problem with High-Dimensional Covariates Wei Qian, University of Delaware; Ching-Kang Ing, National Tsing Hua University; Ji Liu, University of Rochester
11:25 AM	Floor Discussion

443	Thu, 8/6/2020, 10:00 AM - 11:50 AM	Virtual
Student Paper Competition Presentations — Topic Contributed Papers
Section on Nonparametric Statistics
Organizer(s): Damla Senturk, UCLA
Chair(s): Damla Senturk, UCLA
10:05 AM	Wasserstein Regression Yaqing Chen, University of California, Davis; Zhenhua Lin, National University of Singapore; Hans-Georg Müller, University of California, Davis
10:25 AM	Low-Rank Covariance Function Estimation for Multidimensional Functional Data Jiayi Wang, Texas A&M University; Raymond K. W. Wong, Texas A&M University; Xiaoke Zhang, George Washington University
10:45 AM	Survival Analysis via Ordinary Differential Equations Weijing Tang, University of Michigan; Kevin He, University of Michigan; Gongjun Xu, University of Michigan; Ji Zhu, University of Michigan
11:05 AM	Incremental Intervention Effects in Studies with Many Timepoints, Repeated Outcomes, and Dropout Presentation Kwangho Kim, Carnegie Mellon Univ; Edward Kennedy, Carnegie Mellon University; Ashley I Naimi, University of Pittsburgh
11:25 AM	On Function-On-Scalar Quantile Regression Yusha Liu, University of Chicago; Meng Li, Rice University; Jeffrey S Morris, Perelman School of Medicine, University of Pennsylvania
11:45 AM	Floor Discussion

481 * !	Thu, 8/6/2020, 10:00 AM - 2:00 PM	Virtual
Nonparametric Methods in Functional Data Analysis — Contributed Papers
Section on Nonparametric Statistics
Chair(s): Yunan Wu, University of Minnesota
	Common Latent Factor Analysis for Functional and Multivariate Data Presentation Joonho Gong, North Carolina State University; Luo Xiao, North Carolina State University; Arnab Maity, North Carolina State University
	Mixture of Functional Graphical Models with an Application to ADHD Data Qihai Liu, Western Michigan University; Lucas Price, AeroVironment; Kevin Lee, Western Michigan University; Hyun Bin Kang, Western Michigan University
	Prediction of Working Memory Ability Based on EEG by Functional Data Analysis Yuanyuan Zhang, Tsinghua University; Chienkai Wang, Tsinghua University; Fangfang Wu, Tsinghua University; Kun Huang, Tsinghua University; Lijian Yang, Tsinghua University; Linhong Ji, Tsinghua University
	New Methods for Optimal EMG Placement for a Robotic Prosthesis Controller Julia Holter, North Carolina State University; Helen Huang, North Carolina State University; Arnab Maity, North Carolina State University; Ana Maria Staicu, North Carolina State University; Jonathan Stallrich, North Carolina State University
	Statistical Inference for the Stationary Mean of Functional Time Series Jie Li, Tsinghua University; Lijian Yang, Tsinghua University
	Partial Least Squares for Sparsely Observed Curves with Measurement Errors Zhiyang Zhou, Simon Fraser University; Richard Lockhart, Simon Fraser University
	Joint Model for Survival and Multivariate Sparse Functional Data with Application to a Study of Alzheimer's Disease Cai Li, Yale University; Luo Xiao, North Carolina State University

482 * !	Thu, 8/6/2020, 10:00 AM - 2:00 PM	Virtual
Application of Nonparametric Tests — Contributed Papers
Section on Nonparametric Statistics
Chair(s): Trinetri Ghosh, Pennsylvania State University
	Detection of Data Drift and Outliers Affecting Machine Learning Model Performance Over Time Presentation Samuel Ackerman, IBM Research, Haifa; Orna Raz, IBM Research, Haifa; Eitan Farchi, IBM Research, Haifa; Marcel Zalmanovici, IBM Research, Haifa
	A new permutation and Lasso-based interval selection technique Riccardo Ceccato, University of Padova; Luigi Salmaso, University of Padova; Rosa Arboretti, University of Padova; Luca Pegoraro, University of Padova
	Resampling-Based Confidence Intervals for Model-Free Robust Inference on Optimal Treatment Regimes Yunan Wu, University of Minnesota; Lan Wang, University of Minnesota
	State-Domain Change Point Detection for Nonlinear Time Series Regression Yan Cui
	When Your Permutation Test Is Doomed to Fail William Christensen, Brigham Young University; Brinley Nicole Zabriskie, Brigham Young University
	Robustness of Two-Sample Permutation Tests at 0.5% and 5% Significance Levels Kimihiro Noguchi; Frank Konietschke, Charité - Universitaetsmedizin Berlin; Fernando Marmolejo-Ramos, University of South Australia; Markus Pauly, TU Dortmund University
	The Restricted Gradient Test (REGRET): A Nonparametric Score-Type Test for Infinite-Dimensional Risk Minimizers Aaron Hudson, University of Washington; Ali Shojaie, University of Washington

492 * !	Thu, 8/6/2020, 10:00 AM - 2:00 PM	Virtual
Application of Nonparametric Methods — Contributed Papers
Section on Nonparametric Statistics
Chair(s): Hang Deng, Rutgers University
	A New Nonparametric Estimator for the State Price Density Yating Wan, Peking University Guanghua School of Management, Business Statistics; Chenxu Li, Peking University Guanghua School of Management, Business Statistics; Xiaojun Song, Peking University Guanghua School of Management, Business Statistics
	Spatio-Temporal Single Index Models for Correlated Data Hamdy Mahmoud, Virginia Tech; Inyoung Kim, Virginia Tech
	Spline Transformation in Envelope Models Sung Hee Park, Florida State University
	Nonparametric Regression with Response Missing at Random and the Scale Depending on Auxiliary Covariates Tian Jiang, The University of Texas At Dallas; Sam Efromovich, University of Texas at Dallas
	Nonparametric Estimates for Repeated Densities with Heterogeneous Sample Sizes Jiaming Qiu, Iowa State University; Xiongtao Dai, Iowa State University; Zhengyuan Zhu, Iowa State University
	Not Just a Classifier: Using Nearest Neighbors to Detect and Locate Change Matthew Hawks, US Naval Academy
	Counterfactually Fair Risk Assessment Instruments Presentation Alan Mishler, Carnegie Mellon University; Edward Kennedy, Carnegie Mellon University

520 !	Thu, 8/6/2020, 1:00 PM - 2:50 PM	Virtual
New Quantile-Modeling Methods for Large-Scale Heterogeneous Data — Invited Papers
Section on Nonparametric Statistics, International Chinese Statistical Association, IMS
Organizer(s): Lan Wang, University of Minnesota
Chair(s): Qi Zheng, University of Louisville
1:05 PM	Quantile Regression Approach to Conditional Mode Estimation Kengo Kato, Cornell University; Hirofumi Ota, Rutgers University; Satoshi Hara, Osaka University
1:30 PM	Uniform Inference for Heterogeneous Quantile Treatment Effects in High Dimensions Alexander Giessing, Princeton University; Jingshen Wang, UC Berkeley
1:55 PM	Lean-Assumption Quantile Regression for High-Dimensional Data Lan Wang, University of Minnesota
2:20 PM	Discussant: Ying Wei, Columbia University
2:40 PM	Floor Discussion

524 * !	Thu, 8/6/2020, 1:00 PM - 2:50 PM	Virtual
Emerging Statistical Learning Methods in Modern Data Science — Invited Papers
Section on Statistical Learning and Data Science, Section on Nonparametric Statistics, IMS
Organizer(s): Ping Ma, University of Georgia
Chair(s): Ping Ma, University of Georgia
1:05 PM	A Powerful AI Tool for CHD Screening Wenxuan Zhong, Department of Statistics, University of Georgia
1:30 PM	A Community Model for Partially Observed Networks from Surveys Tianxi Li, University of Virginia; Elizaveta Levina, University of Michigan; Ji Zhu, University of Michigan
1:55 PM	Reverse Engineering a Deep Network Presentation Douglas Nychka, Colorado School of Mines
2:20 PM	Statistical Methods for Some Problems in Physics Larry Wasserman, Carnegie Mellon University
2:45 PM	Floor Discussion

580 * !	Thu, 8/6/2020, 3:00 PM - 4:50 PM	Virtual
Statistical and Computational Challenges in Nonparametric Learning — Topic Contributed Papers
Section on Nonparametric Statistics, Section on Statistical Learning and Data Science, Section on Statistical Computing
Organizer(s): Lingzhou Xue, Penn State University and NISS
Chair(s): Lingzhou Xue, Penn State University and NISS
3:05 PM	A Scale Invariant Approach for Sparse Signal Recovery Yifei Lou, University of Texas At Dallas
3:25 PM	Learning Non-Monotone Optimal Individualized Treatment Regimes Trinetri Ghosh, Pennsylvania State University; Yanyuan Ma, The Pennsylvania State University ; Wensheng Zhu, Northeast Normal University
3:45 PM	Nonparametric Screening Under Conditional Strictly Convex Loss for Ultrahigh Dimensional Sparse Data Xu Han, Temple University
4:05 PM	A Screening Algorithm for Cross-Validated Kernel Support Vector Machines Boxiang Wang, University of Iowa; Yi Yang, McGill University
4:25 PM	Floor Discussion

JSM 2020 Online Program

Activity Details

American Statistical Association