Name: 2021 Joint Statistical Meetings
Start: 2021-08-08T07:00:00+00:00
End: 2021-08-12

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* = applied session ! = JSM meeting theme

Activity Details

19 !	Sun, 8/8/2021, 1:30 PM - 3:20 PM	Virtual
Statistical Inference for Random Networks and Matrices — Topic-Contributed Papers
Section on Nonparametric Statistics, IMS, International Chinese Statistical Association
Organizer(s): Min Xu, Rutgers University
Chair(s): Tengyao Wang, University College London
1:35 PM	Testing Correlation of Unlabeled Random Graphs Presentation Yihong Wu, Yale; Jiaming Xu, Duke University; Sophie H. Yu, Duke University
1:55 PM	Asymptotic Distributions of High-Dimensional Distance Correlation Inference Presentation Lan Gao, University of Southern California; Yingying Fan, University of Southern California; Jinchi Lv, University of Southern California; Qi-Man Shao, Southern University of Science and Technology and The Chinese University of Hong Kong
2:15 PM	Euclidean Representation of Low-Rank Matrices and Intrinsic Perturbation Analysis with Applications to High-Dimensional Statistics Fangzheng Xie, Indiana University
2:35 PM	Inference on the History of Infection Networks Min Xu, Rutgers University; Harry Crane, Rutgers University
2:55 PM	Spectral Analysis of Networks with Latent Space Dynamics and Signs Joshua Cape, University of Pittsburgh
3:15 PM	Floor Discussion

32 * !	Sun, 8/8/2021, 3:30 PM - 5:20 PM	Virtual
Statistical Answers to Astrophysical Questions: A Vital Chapter in the Chase for New Discoveries — Invited Papers
Section on Statistical Computing, Section on Physical and Engineering Sciences, Section on Nonparametric Statistics
Organizer(s): Sara Algeri, University of Minnesota
Chair(s): Sara Algeri, University of Minnesota
3:35 PM	Low-Hanging Fruit: Common Analysis Problems in Astronomy Without Statistically Principled Solutions Presentation Vinay L. Kashyap, Center for Astrophysics \| Harvard & Smithsonian
3:55 PM	Hide-and-Seek: Finding Earth Analogs Hidden in Extreme Precision Radial Velocity Spectra Jessi J. Cisewski-Kehe, University of Wisconsin-Madison
4:15 PM	Finding cosmic filament by the directional ridge finding algorithm Yikun Zhang, University of Washington, Seattle; Yen-Chi Chen, University of Washington
4:35 PM	Advances in statistical learning for new physics searches when either the signal or the background is unknown Mikael Kuusela, Carnegie Mellon University; Purvasha Chakravarti, Imperial College London; Larry Wasserman, Carnegie Mellon University; Jing Lei, Carnegie Mellon University; Tudor Manole, Carnegie Mellon University; Patrick Bryant, Carnegie Mellon University; John Alison, Carnegie Mellon University
4:55 PM	Discussant: David A van Dyk, Imperial College London
5:15 PM	Floor Discussion

57	Sun, 8/8/2021, 3:30 PM - 5:20 PM	Virtual
Nonparametric Modeling I — Contributed Speed
Section on Nonparametric Statistics
Chair(s): Yi Yu, University of Warwick
3:35 PM	Nonparametric Analysis of Patient-Reported Outcomes Using Compartmentalization Method Saryet Kucukemiroglu, FDA; Manasi Sheth, FDA
3:40 PM	Stratified Incomplete Local Simplex Tests for Curvature of Nonparametric Multiple Regression Yanglei Song, Queen's University; Xiaohui Chen, University of Illinois at Urbana-Champaign; Kengo Kato, Cornell University
3:45 PM	Testing for Differences in Mean Matrices Using Multiple 3-D Rotation Data Sets Presentation Melissa Bingham, University of Wisconsin-La Crosse
3:50 PM	Two-Sample Testing in High Dimension via Maximum Mean Discrepancy Hanjia Gao, Department of Statistics, University of Illinois at Urbana-Champaign; Xiaofeng Shao, University of Illinois at Urbana-Champaign
3:55 PM	Another Look at the Lady Tasting Tea and Differences Between Permutation Tests and Randomization Tests Jesse Hemerik, Wageningen University & Research; Jelle Goeman, Leiden University Medical Center
4:00 PM	Wild Bootstrap Implementation of Nonparametric Multiple Comparisons with Effect Size Generalization in the One-Way Repeated Measures Setting Patrick Carroll, Oregon State University; Alexander Kuhn, Oregon State University; Kimihiro Noguchi, Department of Mathematics, Western Washington University
4:05 PM	A Kernel-based Test of Independence for Cluster-correlated Data Hongjiao Liu, University of Washington; Michael C Wu, Fred Hutchinson Cancer Research Center
4:10 PM	A Comparison of Methods for Cumulative Distribution Functions Estimation in Multidimensional Kolmogorov-Smirnov Tests Between Two Distributions Gonzalo Hernando, Air Force Institute of Technology; Christine M. Schubert Kabban, Air Force Institute of Technology
4:15 PM	Constructing Confidence Intervals from Randomization Tests Yanying Wang, Bristol Myers Squibb
4:20 PM	Evaluating the Usefulness of Randomization Tests for the Analysis of Stepped Wedge Trials Harlan Sayles, University of Nebraska Medical Center; Christopher Wichman, University of Nebraska Medical Center; Lynette Smith, University of Nebraska Medical Center
4:30 PM	A Neighborhood Hypothesis Test for a High-Dimensional Mean When the Neighborhood Is Defined in Terms of the Total Population Variance with an Application to Model Validation Dhanamalee Bandara, University of Wisconsin Green Bay; Leif Ellingson, Texas Tech University; Souparno Ghosh, University of Nebraska Lincoln
4:35 PM	Entropy-Regularized Schroedinger Bridge and Two-Sample Homogeneity Testing Presentation Zaid Harchaoui, University of Washington; Lang Liu, University of Washington; Soumik Pal, University of Washington
4:40 PM	Nonparametric Method for Clustered Data in Pre-Post Factorial Design Yue Cui, Missouri State University
4:45 PM	Testing Hypotheses in Large, Complex Data Using Nonparametric Data Science Sunil Mathur, Texas A&M University-Corpus Christi
4:50 PM	Testing for Associations in a Heterogeneous Population Malima Sugandika Atapattu, Texas Tech University; Fangyuan Zhang, Texas Tech University
4:55 PM	Permutation tests for cluster analysis Riccardo Ceccato, University of Padova; Rosa Arboretti, University of Padova; Luigi Salmaso, University of Padova; Luca Pegoraro, University of Padova; Marta Disegna, Bournemouth University
5:00 PM	Asymmetric Prior in Wavelet Shrinkage Presentation Alex Rodrigo dos Santos Sousa, University of São Paulo
5:05 PM	Spike-and-Slab Generalized Additive Models and Fast Algorithms for High-Dimensional Data Boyi Guo, University of Alabama at Birmingham; Nengjun Yi, University of Alabama at Birmingham
5:10 PM	Minimax Rates for Conditional Density Estimation via Empirical Entropy Presentation Blair Bilodeau, University of Toronto; Dylan J. Foster, Massachusetts Institute of Technology; Daniel M. Roy, University of Toronto
5:15 PM	A Robust Non Parametric Median-Based Quantile Regression Control Chart Using Real-Life Case Studies Quratulain Khaliq, Bank of Punjab

66 * !	Mon, 8/9/2021, 10:00 AM - 11:50 AM	Virtual
Frontiers in Bayesian Nonparametric Methods, from Theory to Application — Invited Papers
Section on Bayesian Statistical Science, International Society for Bayesian Analysis (ISBA), Section on Nonparametric Statistics
Organizer(s): Li Ma, Duke University
Chair(s): Li Ma, Duke University
10:05 AM	Modeling Sparse, Dynamic Interaction Networks Using Bayesian Nonparametrics Sinead Williamson, University of Texas at Austin, Department of Statistics and Data Sciences
10:25 AM	Extended Stochastic Block Models Daniele Durante, Bocconi University; Sirio Legramanti, Bocconi University; Tommaso Rigon, University of Milano-Bicocca; David Dunson, Duke University
10:45 AM	BN-LTE: Bayesian Network with Latent Trajectory Embedding Yang Ni, Texas A&M University
11:05 AM	A Bayesian Nonparametric Model via Mixtures of Erlang Distributions for Survival Times Juhee Lee, University of California, Santa Cruz
11:25 AM	Coverage of Credible Intervals Under Monotonicity Subhashis Ghoshal, North Carolina State University; Moumita Chakraborty, North Carolina State University
11:45 AM	Floor Discussion

79 !	Mon, 8/9/2021, 10:00 AM - 11:50 AM	Virtual
Measure Transportation-Based Statistical Inference — Topic-Contributed Papers
IMS, Section on Nonparametric Statistics, Section on Statistical Learning and Data Science
Organizer(s): Fang Han, University of Washington
Chair(s): Fang Han, University of Washington
10:05 AM	Fully Distribution-Free Center-Outward Rank Tests for Multiple-Output Regression and MANOVA Presentation Marc Hallin, Université libre de Bruxelles
10:25 AM	Distribution-Free Consistent Independence Tests via Center-Outward Ranks and Signs Mathias Drton, Technical University of Munich; Marc Hallin, Université libre de Bruxelles; Fang Han, University of Washington; Hongjian Shi, University of Washington
10:45 AM	From Smooth Wasserstein Distance to Dual Sobolev Norm: Empirical Approximation and Statistical Applications Kengo Kato, Cornell University; Ziv Goldfeld, Cornell University; Sloan Nietert, Cornell University
11:05 AM	Optimal Transport for Fairness in Machine Learning jean michel loubes, University of Toulouse
11:25 AM	Consistent Estimation of Optimal Transport Plans Johan Segers, UCLouvain
11:45 AM	Floor Discussion

89	Mon, 8/9/2021, 10:00 AM - 11:50 AM	Virtual
Nonparametric Methods for Modern Data — Contributed Speed
Section on Nonparametric Statistics
Chair(s): Zhenhua Lin, National University of Singapore
10:05 AM	WITHDRAWN: Estimating the Effect of Increasing the PF Ratio on Survival in ICU Patients with Acute Respiratory Distress: A Clinical Application of Longitudinal Modified Treatment Policies Katherine Hoffman, Weill Cornell Medicine; Nicholas Williams, Weill Cornell Medicine; Ivan Diaz, Weill Cornell Medical College
10:10 AM	Evaluating the Dynamic Association Between Bivariate Binary Variables in Longitudinal Studies Zhuangzhuang Liu, University of Iowa; Hyunkeun (Ryan) Cho, University of Iowa
10:15 AM	Functional Data Analysis for Longitudinal Data with Informative Observations Presentation Caleb Weaver, Department of Statistics, North Carolina State University; Luo Xiao, Department of Statistics, North Carolina State University; Wenbin Lu, North Carolina State University
10:20 AM	Statistical Inference for Mean Function of Longitudinal Imaging Data Over Complicated Domains Jie Li, Center for Statistical Science, Tsinghua University; Qirui Hu, Tsinghua University
10:25 AM	Sparse Contrast Test for Groups of Functional Data with Application to In-Session Hemodialysis Monitoring Presentation Quyen Do, Virginia Tech; Pang Du, Virginia Tech
10:30 AM	Robust Joint Modeling of Paired Sparse Functional Data Huiya Zhou, Texas A&M University
10:35 AM	Robust FPCA via Functional Pairwise Spatial Sign Robust Functional Principal Component Analysis via a Functional Pairwise Spatial Sign Operator Guangxing Wang, Fred Hutchinson Cancer Research Center; Chongzhi Di, Fred Hutchinson Cancer Research Center; Fang Han, University of Washington; Sisheng Liu, Kuaishou technology
10:40 AM	Variograms for Spatial Functional Data with Phase Variation Xiaohan Guo, Department of Statistics, The Ohio State Univerisuty; Sebastian Kurtek, The Ohio State University; Karthik Bharath, University of Nottingham
10:45 AM	Time-Warping for Metric Space-Valued Random Processes Yaqing Chen , University of California, Davis ; Hans-Georg Müller, University of California, Davis
10:50 AM	Temporal-Dependent Principal Component Analysis of Two-Dimensional Functional Data Kejun He, Renmin University of China; Shirun Shen, Texas A&M University; Lan Zhou, Texas A&M University
11:00 AM	Fréchet Single Index Models for the Regression of Random Objects on Euclidean Predictors Aritra Ghosal, UC Santa Barbara; Alexander Petersen, Department of Statistics and Applied Probability, UC Santa Barbara; Wendy Meiring, UCSB
11:05 AM	Autoregressive Optimal Transport Models Changbo Zhu, University of California, Davis; Hans-Georg Müller, University of California, Davis
11:10 AM	Wasserstein Autoregressive Models for Density Time Series Chao Zhang, University of California, Santa Barbara; Piotr Kokoszka, Colorado State University ; Alexander Petersen, Department of Statistics and Applied Probability, UC Santa Barbara
11:15 AM	Statistical Inference for ARMA Time Series via Moving Average Trend Zening Song, Tsinghua University; Lijian Yang, Tsinghua University
11:20 AM	Sequentially Comparing Forecasters Yo Joong Choe, Carnegie Mellon University; Aaditya K Ramdas, Carnegie Mellon University
11:25 AM	Lag Autocorrelation and Recursive Prediction from Accelerometer Data Drew Lazar, Ball State University
11:30 AM	A General and Optimal Difference-Based Method for Variance Estimation in Time Series Kin Wai Chan, The Chinese University of Hong Kong
11:35 AM	A Generally Weighted Moving Average Exceedance Chart Presentation Niladri Chakraborty, University of the Free State; Schalk Human, University of Pretoria; Narayanaswamy Balakrishnan, McMaster University
11:40 AM	Optimal Difference-Based Variance Change Point Detection on Mean-Nonstationary Time Series Kin Wai Chan, The Chinese University of Hong Kong; Cheuk Wai Dominic Leung, The Chinese University of Hong Kong
11:45 AM	Dating the Break in High-Dimensional Data Runmin Wang, Southern Methodist University; Xiaofeng Shao, University of Illinois at Urbana-Champaign

104 * !	Mon, 8/9/2021, 1:30 PM - 3:20 PM	Virtual
Novel Methodology for the Analysis of Physical Activity Data Measured by Accelerometers — Invited Papers
Biometrics Section, Section on Nonparametric Statistics, Section on Medical Devices and Diagnostics
Organizer(s): Erjia Cui, Johns Hopkins Bloomberg School of Public Health
Chair(s): Erjia Cui, Johns Hopkins Bloomberg School of Public Health
1:35 PM	Compositional Data Analysis for the 24-Hour Activity Cycle: Methods Considerations and Applications to the Women’s Health Initiative Chongzhi Di, Fred Hutchinson Cancer Research Center; Yifan Zhu, Fred Hutchinson Cancer Research Center; Guangxing Wang, Fred Hutchinson Cancer Research Center
2:00 PM	A Case Study of the Micro-Randomized Trial of HeartSteps V2 Xiang Meng, Harvard University; Peng Liao, Harvard University; Susan Murphy, Harvard University; Predrag Klasnja, University of Michigan; Walter Dempsey, University of Michigan; Nick Reid, University of Washington
2:25 PM	Establishing Population Reference Quantities of Interpretable Summaries of Physical Activity from Accelerometry Data Andrew Leroux, University of Colorado Anschutz Medical Campus
2:50 PM	Complex Survey-Weighted Functional Regression Methods for Mortality Prediction in National Health and Nutrition Examination Studies (NHANES) Ekaterina Smirnova, Virginia Commonwealth University; Andrew Leroux, University of Colorado Anschutz Medical Campus; Erjia Cui, Johns Hopkins Bloomberg School of Public Health; Lucia Tabacu, Old Dominion University; Ciprian Crainiceanu, Johns Hopkins University
3:15 PM	Floor Discussion

105 !	Mon, 8/9/2021, 1:30 PM - 3:20 PM	Virtual
Inference for Networks and Graph-Structured Data — Invited Papers
Section on Physical and Engineering Sciences, Section on Nonparametric Statistics, Section on Statistical Graphics
Organizer(s): Joshua Cape, University of Pittsburgh
Chair(s): Joshua Cape, University of Pittsburgh
1:35 PM	Permutation Tests for Infection Graphs Po-Ling Loh, UW-Madison
1:55 PM	Subsampling and Jackknife for Networks Purnamrita Sarkar, University of Texas, Austin
2:15 PM	Inference in a Nonhomogeneous Multilayer Stochastic Block Model Marianna Pensky, University of Central Florida
2:35 PM	Nonparametric Link Prediction for Networks and Bipartite Graphs Jiashen Lu, University of Pittsburgh; Kehui Chen, University of Pittsburgh
2:55 PM	Scalable Estimation of Random Graph Models with Dependent Edges and Parameter Vectors of Increasing Dimension Michael Schweinberger, Rice University; Jonathan R. Stewart, Florida State University
3:15 PM	Floor Discussion

117	Mon, 8/9/2021, 1:30 PM - 3:20 PM	Virtual
Xiangrong Yin Memorial Session — Invited Panel
Memorial, IMS, Section on Nonparametric Statistics, History of Statistics Interest Group
Organizer(s): Jiaying Weng, Bentley University
Chair(s): Qin Wang, University of Alabama
1:35 PM	Xiangrong Yin Memorial Session
Panelists:	Dennis Cook, University of Minnesota John Stufken, UNC Greensboro Bing Li, Penn State University Arnold Stromberg, University of Kentucky Solomon Harrar, University of Kentucky
3:10 PM	Floor Discussion

120 !	Mon, 8/9/2021, 1:30 PM - 3:20 PM	Virtual
Challenges and Recent Advances in Private Data Analysis — Topic-Contributed Papers
Section on Nonparametric Statistics, IMS, CHANCE, Section on Statistical Learning and Data Science
Organizer(s): Linjun Zhang, Rutgers University
Chair(s): Linjun Zhang, Rutgers University
1:35 PM	The Cost of Privacy in Generalized Linear Models: Algorithms and Minimax Lower Bounds Yichen Wang, University of Pennsylvania; Tony Cai, University of Pennsylvania; Linjun Zhang, Rutgers University
1:55 PM	Differentially Private Statistics for Collaborative Neuroinformatics Anand Sarwate, Rutgers University
2:15 PM	Interactive Versus Non-Interactive Locally Differentially Private Estimation: Two Elbows for the Quadratic Functional Lukas Steinberger, University of Vienna
2:35 PM	A Central Limit Theorem and Uncertainty Principle for Differentially Private Query Answering Presentation Jinshuo Dong, Northwestern University
2:55 PM	High-Dimensional, Differentially-Private EM Algorithm: Methods and Near Optimal Statistical Guarantees Zhe Zhang, Rutgers University, New Brunswick; Linjun Zhang, Rutgers University
3:15 PM	Floor Discussion

139 * !	Tue, 8/10/2021, 10:00 AM - 11:50 AM	Virtual
Recent Advances of Semi-Supervised Learning: Techniques and Applications — Invited Papers
Section on Statistical Learning and Data Science, Section on Nonparametric Statistics, ENAR
Organizer(s): Jiwei Zhao, University of Wisconsin-Madison
Chair(s): Jiwei Zhao, University of Wisconsin-Madison
10:05 AM	Optimal Semi-Supervised Estimation and Inference for High-Dimensional Linear Regression Yang Ning, Cornell University ; Jiwei Zhao, University of Wisconsin-Madison; Heping Zhang, Yale University
10:25 AM	Inference for Maximin Effects: A Sampling Approach to Aggregating Heterogenous High-Dimensional Regression Models Zijian Guo, Rutgers University
10:45 AM	Semi-Supervised Off Policy Reinforcement Learning Aaron Sonabend, Harvard University; Tianxi Cai, Harvard T.H. Chan School of Public Health
11:05 AM	Doubly Robust Semi-Supervised Inference for Means Under MAR-Type Labeling Mechanisms with Selection Bias and Decaying Propensity Scores Abhishek Chakrabortty, Texas A&M University
11:25 AM	Semi-Supervised Learning with Network Information Linda Zhao, University of Pennsylvania; Junhui Cai, University of Pennsylvania; Haipeng Shen, University of Hong Kong; Dan Yang, University of Hong Kong; Wu Zhu, University of Pennsylvania
11:45 AM	Floor Discussion

140 * !	Tue, 8/10/2021, 10:00 AM - 11:50 AM	Virtual
Change-Points in Multivariate and High-Dimensional Data — Invited Papers
Section on Nonparametric Statistics, IMS, Section on Statistical Learning and Data Science
Organizer(s): Piotr Fryzlewicz, London School of Economics
Chair(s): Qiwei Yao, London School of Economics and Political Science
10:05 AM	Inference for a Change Point in High-Dimensional Data via Self-Normalization Runmin Wang, Southern Methodist University; Changbo Zhu, University of California, Davis; Stanislav Volgushev, University of Toronto; Xiaofeng Shao, University of Illinois at Urbana-Champaign
10:25 AM	Jump or Kink: Super-Efficiency in Segmented Linear Regression Break-Point Estimation Yining Chen, London School of Economics
10:45 AM	Change-Point Detection for Multivariate and Non-Euclidean Data with Local Dependency Hao Chen, University of California, Davis
11:05 AM	Detection and Estimation of Signals in Space-Time Fields David Siegmund, Stanford University
11:25 AM	Discussant: Piotr Fryzlewicz, London School of Economics
11:40 AM	Floor Discussion

145 !	Tue, 8/10/2021, 10:00 AM - 11:50 AM	Virtual
Trend Filtering and Related Regression Methods — Invited Papers
IMS, International Indian Statistical Association, Section on Nonparametric Statistics
Organizer(s): Sabyasachi Chatterjee, University of Illinois at Urbana-Champaign
Chair(s): Anamitra Chaudhuri, University of Illinois at Urbana-Champaign
10:05 AM	Adaptive Online Forecasting of Trends Yu-Xiang Wang, UC Santa Barbara
10:30 AM	MARS via LASSO Dohyeong Ki; Billy Fang, Google; Adityanand Guntuboyina, UC Berkeley
10:55 AM	Adaptive Risk Bounds for Quantile Trend Filtering Oscar Madrid Padilla, University of California, Los Angeles
11:20 AM	Dyadic CART Revisited Sabyasachi Chatterjee, University of Illinois at Urbana-Champaign
11:45 AM	Floor Discussion

184 !	Tue, 8/10/2021, 1:30 PM - 3:20 PM	Virtual
Recent Advances in Statistical Machine Learning — Invited Papers
IMS, Section on Statistical Learning and Data Science, Section on Nonparametric Statistics
Organizer(s): Jianqing Fan , Princeton University
Chair(s): Jianqing Fan , Princeton University
1:35 PM	Inhomogeneous-Word PCA for Estimating the Weights in a Topic Model Tracy Ke, Harvard University; Minzhe Wang, University of Chicago
2:00 PM	Provable Boolean Interaction Recovery from Tree Structures Obtained via Random Forests Bin Yu, University of California, Berkeley; Merle Behr, UC Berkeley; Yu Wang, University of California, Berkeley; Xiao Li, University of California, Berkeley
2:25 PM	High-Dimensional Principle Component Analysis with Heterogeneous Missingness Ziwei Zhu , University of Michigan, Ann Arbor; Tengyao Wang, University College London; Richard J. Samworth, University of Cambridge
2:50 PM	Fast Network Community Detection with Profile-Pseudo Likelihood Methods Ji Zhu, University of Michigan
3:15 PM	Floor Discussion

201 *	Tue, 8/10/2021, 1:30 PM - 3:20 PM	Virtual
Nonparametric Statistics Student Paper Competition Presentations — Topic-Contributed Papers
Section on Nonparametric Statistics
Organizer(s): Li-Shan Huang, National Tsing Hua University
Chair(s): Li-Shan Huang, National Tsing Hua University
1:35 PM	Variable Selection for Global Fr\'Echet Regression Presentation Danielle C. Tucker, University of Illinois at Chicago; Yichao Wu, University of Illinois at Chicago; Hans-Georg Müller, University of California, Davis
1:50 PM	High-Dimensional Semi-Supervised Learning: In Search of Optimal Inference of the Mean Yuqian Zhang, UCSD; Jelena Bradic, University of California, San Diego
2:05 PM	Estimation and Inference in Ultrahigh Dimensional Partially Linear Single-Index Models Shijie Cui, Pennsylvania State University; Xu Guo, Beijing Normal University; Runze Li, Pennsylvania State University
2:20 PM	Model-Free Conditional Feature Screening with FDR Control Zhaoxue Neve Tong, The Pennsylvania State University; Zhanrui Cai, The Pennsylvania State University; Runze Li, Pennsylvania State University
2:35 PM	Adaptive Inference for Change Points in High-Dimensional Data Yangfan Zhang, University of Illinois at Urbana-Champaign; Runmin Wang, Southern Methodist University; Xiaofeng Shao, University of Illinois at Urbana-Champaign
2:50 PM	Nonparametric Two-Sample Hypothesis Testing for Random Graphs with Negative and Repeated Eigenvalues Joshua Agterberg, Johns Hopkins University; Minh Tang, North Carolina State University; Carey E Priebe, Johns Hopkins University
3:05 PM	Floor Discussion

223 * !	Wed, 8/11/2021, 10:00 AM - 11:50 AM	Virtual
Recent Developments in Differential Privacy — Invited Papers
Section on Statistical Learning and Data Science, IMS, Section on Nonparametric Statistics
Organizer(s): Xuan Bi, University of Minnesota
Chair(s): Xuan Bi, University of Minnesota
10:05 AM	Differential Private Data Release Using Latent Factor Model Transform Annie Qu, Unviersity of California Irvine; Yanqing Zhang, Yunnan University; Niansheng Tang, Yunnan U
10:30 AM	Private Posterior Inference Consistent with Public Information Aleksandra Slavkovic, Penn State University
10:55 AM	Congenial Differential Privacy Under Mandated Disclosure Ruobin Gong, Rutgers University; Xiao-Li Meng, Harvard University
11:20 AM	Near Instance-Optimality in Differential Privacy John C Duchi, Stanford University; Hilal Asi, Stanford University
11:45 AM	Floor Discussion

259	Wed, 8/11/2021, 1:30 PM - 3:20 PM	Virtual
Recent Developments in Statistical Inference Using Distance Correlation and Related Dependence Metrics — Invited Papers
Section on Nonparametric Statistics, International Chinese Statistical Association, IMS
Organizer(s): Xiaofeng Shao, University of Illinois at Urbana-Champaign
Chair(s): Changbo Zhu, University of California, Davis
1:35 PM	High-Dimensional Change-Point Detection Using Generalized Homogeneity Metrics Presentation Xianyang Zhang, Texas A&M University; Shubhadeep Chakraborty, University of Washington
2:05 PM	Asymptotic Distributions of High-Dimensional Distance Correlation Inference Jinchi Lv, University of Southern California
2:35 PM	Concentration Inequality for Distance Covariances and Applications in Feature Screening Xiaoming Huo, Georgia Institute of Technology
3:05 PM	Floor Discussion

292 !	Wed, 8/11/2021, 3:30 PM - 5:20 PM	Virtual
Inferential Thinking in a Machine Learning World — 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): Lucas Mentch, University of Pittsburgh
3:35 PM	Why Random Forests Work and Why That’s a Problem Siyu Zhou, University of Pittsburgh; Lucas Mentch, University of Pittsburgh
4:00 PM	A Semiparametric Approach to Variable Importance with Multiple Testing Corrections Aaditya K Ramdas, Carnegie Mellon University
4:25 PM	Recent Advances in Applying Floodgate to High-Dimensional Inference Presentation Lucas Janson, Harvard University; Lu Zhang, Harvard University
4:50 PM	Variable Importance, Cohort Shapley Value, and Redlining Art Owen, Stanford University; Masayoshi Mase, Hitachi, Ltd; Ben Seiler, Stanford University
5:15 PM	Floor Discussion

314 * !	Wed, 8/11/2021, 3:30 PM - 5:20 PM	Virtual
Statistical Challenges in Cosmology — Topic-Contributed Papers
Section on Nonparametric Statistics, Astrostatistics Special Interest Group, Section on Statistical Learning and Data Science, Section on Physical and Engineering Sciences
Organizer(s): Collin A Politsch, Carnegie Mellon University
Chair(s): Jessi J. Cisewski-Kehe, University of Wisconsin-Madison
3:35 PM	Three-Dimensional Cosmography of the High Redshift Universe Using Intergalactic Absorption Collin A Politsch, Carnegie Mellon University; Jessi J. Cisewski-Kehe, University of Wisconsin-Madison; Rupert Croft, Carnegie Mellon University; Larry Wasserman, Carnegie Mellon University
3:55 PM	Stratified Learning: a general-purpose statistical method for improved learning under Covariate Shift Maximilian Autenrieth, Imperial College London; David A van Dyk, Imperial College London; Roberto Trotta, Imperial College London, International School for Advanced Studies (Trieste); David C Stenning, Simon Fraser University
4:15 PM	Cosmological Parameter Inference in Photometric Surveys: An Inverse Problem Markus Michael Rau, Carnegie-Mellon-University
4:35 PM	Learning to Predict Structure Formation in the Universe Presentation Yin Li, Flatiron Institute
4:55 PM	Discussant: Chad Schafer, Carnegie Mellon University
5:15 PM	Floor Discussion

329	Thu, 8/12/2021, 10:00 AM - 11:50 AM	Virtual
New Statistical Learning and Methods in Nonparametric Statistics — Invited Papers
Section on Nonparametric Statistics, IMS, General Methodology
Organizer(s): Rui Song, North Carolina State University
Chair(s): Chengchun Shi, LSE
10:05 AM	Deep Large-Scale Spatiotemporal Forecasting Methods Hongtu Zhu, University of North Carolina
10:25 AM	Nonparametric Interaction Selection Yushen Dong, University of Illinois at Chicago; Yichao Wu, University of Illinois at Chicago
10:45 AM	Efficient Estimation of Associations Between Multiple Predictors and Survival Outcomes Ian McKeague, Columbia University
11:05 AM	AdaBoost Semiparametric Model Averaging Prediction for Multiple Categories Jialiang Li, National University of Singapore
11:25 AM	Distribution-Free Inference for Regression Rina Foygel Barber, University of Chicago; Yonghoon Lee, University of Chicago
11:45 AM	Floor Discussion

356	Thu, 8/12/2021, 12:00 PM - 1:50 PM	Virtual
Recent Advances in Change-Point Analysis for Business and Economics Data — Invited Papers
Business and Economic Statistics Section, Section on Nonparametric Statistics, JBES-Journal of Business & Economic Statistics
Organizer(s): Xiaofeng Shao, University of Illinois at Urbana-Champaign
Chair(s): Runmin Wang, Southern Methodist University
12:05 PM	Segmenting Time Series via Self-Normalization Zifeng Zhao, University of Notre Dame; Feiyu Jiang, Tsinghua University; Xiaofeng Shao, University of Illinois at Urbana-Champaign
12:30 PM	Adaptive Bayesian Changepoint Analysis and Local Anomaly Detection David S Matteson, Cornell University; Haoxuan Wu, Cornell University
12:55 PM	Narrowest Significance Pursuit: Inference for Multiple Change-Points in Linear Models Presentation Piotr Fryzlewicz, London School of Economics
1:20 PM	Relevant Change Points in Functional Data Holger Dette, Ruhr-Universität Bochum
1:45 PM	Floor Discussion

386	Thu, 8/12/2021, 12:00 PM - 1:50 PM	Virtual
Nonparametric Modeling II — Contributed Speed
Section on Nonparametric Statistics
Chair(s): Jay Breidt, Colorado State University
12:05 PM	A New Computational Framework for Log-Concave Density Estimation Wenyu Chen, Massachusetts Institute of Technology; Rahul Mazumder, Massachusetts Institute of Technology; Richard J. Samworth, University of Cambridge
12:10 PM	Data Harmonization via Regularized Nonparametric Mixing Distribution Estimation Steven Wilkins-Reeves, University of Washington, Department of Statistics; Yen-Chi Chen, University of Washington; Kwun Chuen Gary Chan, University of Washington
12:15 PM	Density-Based Interpretable Hypercube Region Partitioning for Mixed Numeric and Categorical Data Presentation Samuel Ackerman, IBM Research, Haifa
12:20 PM	A Spectral Analysis of Dot-Product Kernels Presentation Meyer Scetbon, CREST, ENSAE; Zaid Harchaoui, University of Washington
12:25 PM	Computerized Higher-Order Efficient Estimation Zeyi Wang, UC Berkeley; Mark Van Der Laan, University of California
12:30 PM	Distance Measure on Independence with Respect to a Statistical Functional of Interest Lei Fang, University of Kentucky
12:35 PM	Bagging Cross-Validated Bandwidths in Nonparametric Regression with Application to Large Sample Sizes Daniel Barreiro Ures, Universidade da Coruña; Ricardo Cao Abad, Universidade da Coruña; Mario Francisco Fernández, Universidade da Coruña
12:40 PM	Estimation and Inference in Generalized Spatial Partially Linear Varying Coefficient Models Jingru Mu, Kansas State University, the Department of Statistics
12:45 PM	Adaptive Estimation in High-Dimensional Additive Models with Multi-Resolution Group Lasso Yisha Yao, Department of Statistics, Rutgers-New Brunswick; Cun-Hui Zhang, Rutgers University
12:50 PM	Composite Nonparametric Inference in High Dimensions Alejandro Gerardo Villasante Tezanos, University of Texas Medical Branch; Solomon Harrar, University of Kentucky
1:00 PM	Using Embeddings for Estimating Causal Effects Over Social Networks Irina Cristali, The University of Chicago; Victor Veitch, The University of Chicago
1:05 PM	Estimation and Variable Selection for Conditional Causal Effect: A Dimension Reduction Approach Zonghui Hu, National Institutes of Health
1:10 PM	Endogeneity in Modal Regression Tao Wang, University of California, Riverside
1:15 PM	The Cumulative Hazard Rate Function for Right-Censored Length-Biased Survival Data Ali Shariati, Macquarie University; Hassan Doosti, Macquarie University; Vahid Fakoor, Ferdowsi University of Mashhad
1:20 PM	Estimation Methods Based on Statistical Distances for Model Adequacy for Discrete and Mixed-Scale Data Elisavet M Sofikitou, University at Buffalo, Department of Biostatistics; Marianthi Markatou, University at Buffalo, Department of Biostatistics, USA
1:25 PM	Effect of Trimming on Robust Measures of Agreement Elahe Tashakor, Ipsos Public Affairs
1:30 PM	Generalized Signed-Rank Estimation for Regression Models with Nonignorable Missing Responses Brice Merlin Nuguelifack, United States Naval Academy
1:35 PM	Semiparametric Estimation of Missingness Mechanism with Nonignorable Missing Data Samidha Sudhakar Shetty, Pennsylvania State University; Yanyuan Ma, Penn State University; Jiwei Zhao, University of Wisconsin-Madison
1:40 PM	Efficient Estimation in a Partially Specified Nonignorable Propensity Score Model Mengyan Li, Bentley University; Yanyuan Ma, Penn State University; Jiwei Zhao, University of Wisconsin-Madison
1:45 PM	Spatially Varying Coefficient Models with Sign Preservation of the Coefficient Functions Myungjin Kim, Iowa State University; Lily Wang, Iowa State University; Yuyu Zhou, Iowa State University

404 !	Thu, 8/12/2021, 2:00 PM - 3:50 PM	Virtual
Recent Research in High-Dimensional and Complex Data Analysis — Topic-Contributed Papers
International Chinese Statistical Association, Section on Nonparametric Statistics, Caucus for Women in Statistics
Organizer(s): Yicheng Kang, Bentley University; Jiaying Weng, Bentley University
Chair(s): Yicheng Kang, Bentley University
2:05 PM	Detection of Multiple Change Points in an Accelerated Failure Time Model Using Sequential Testing Kayoung Park, Old Dominion University; Kristine Gierz, Old Dominion University
2:25 PM	High-Dimensional Rank-Based Inference for Testing Relative Effects Xiaoli Kong, Loyola University Chicago; Solomon Harrar, University of Kentucky
2:45 PM	An Ensemble of Inverse Moments Estimator for Sufficient Dimension Reduction Qin Wang, University of Alabama; Yuan Xue, University of International Business and Economics
3:05 PM	Flexible Interaction Selection for Cox's Proportional Hazards Models Yi Yang, McGill University
3:25 PM	Sufficient Variable Screening for Ultrahigh Dimensional Survival Data Chenlu Ke, Virginia Commonwealth University
3:45 PM	Floor Discussion

419 * !	Thu, 8/12/2021, 4:00 PM - 5:50 PM	Virtual
Quantifying the Anthropogenic Fingerprint in Climate Change — Invited Papers
Section on Statistics and the Environment, IMS, Section on Nonparametric Statistics
Organizer(s): Jan Beran, University of Konstanz
Chair(s): Sucharita Ghosh, Swiss Federal Research Institute WSL
4:05 PM	A Combined Estimate of Global Temperature Time Series and a Comparison to Climate Models Peter Craigmile, The Ohio State University; Peter Guttorp, University of Washington and Norwegian Computing Center
4:30 PM	Changing Seasons and Related Topics Jan Beran, University of Konstanz; Britta Steffens, University of Konstanz; Sucharita Ghosh, Swiss Federal Research Institute WSL
4:55 PM	What Drives Temperature Anomalies? A Functional SVAR Approach Presentation J. Isaac Miller, University of Missouri; Yoosoon Chang, Indiana University; Joon Y. Park, Indiana University
5:20 PM	Multivariate Integer-Valued Time Series with Flexible Autocovariances and Their Application to Major Hurricane Counts Vladas Pipiras, University of North Carolina at Chapel Hill
5:45 PM	Floor Discussion

425 * !	Thu, 8/12/2021, 4:00 PM - 5:50 PM	Virtual
Modern Statistical Learning of Complex Data — Invited Papers
Section on Nonparametric Statistics, IMS, Section on Statistical Learning and Data Science
Organizer(s): Lily Wang, Iowa State University
Chair(s): Lily Wang, Iowa State University
4:05 PM	Sparse Modeling of Functional Linear Regression via Fused Lasso with Application to Genotype-by-Environment Interaction Studies Shan Yu, University of Virginia; Lily Wang, Iowa State University; Dan Nettleton, Iowa State University; Aaron Kusmec, Iowa State University
4:25 PM	Group Testing with Missing Values Aurore Delaigle, University of Melbourne; Ruoxu Tan, University of Melbourne
4:45 PM	Kernel-Based Learning for Informative Selection in Complex Surveys Jay Breidt, Colorado State University; Teng Liu, Colorado State University
5:05 PM	Robust Estimation of Additive Boundaries with Quantile Regression and Shape Constraints Lan Xue, Oregon State University; Yan Fang, Shanghai University of International Business and Economics; Carlos Martins-Filho, University of Colorado; Lijian Yang, Tsinghua University
5:25 PM	On Function-On-Scalar Quantile Regression Yusha Liu , University of Chicago; Meng Li, Rice University; Jeffrey S. Morris, University of Pennsylvania Perelman School of Medicine
5:45 PM	Floor Discussion

427 * !	Thu, 8/12/2021, 4:00 PM - 5:50 PM	Virtual
Toward Objective, Reproducible, and Scalable Digital Phenotyping Using Smartphones — Invited Papers
Section on Statistical Computing, Section on Statistical Learning and Data Science, Section on Nonparametric Statistics
Organizer(s): Marcin Straczkiewicz, Harvard T.H. Chan School of Public Health
Chair(s): Jukka-Pekka Onnela, Harvard University
4:05 PM	Methods for Digital Phenotyping: Handling the Challenges of Smartphone Data for Health Care Research Anna Beukenhorst, Harvard T.H. School of Public Health
4:30 PM	Application of Advanced Signal Processing Methods for Estimation of Walking Periods Using Smartphones Marcin Straczkiewicz, Harvard T.H. Chan School of Public Health
4:55 PM	Combining Accelerometer and Gyroscope Data in Smartphone-Based Activity Recognition using Movelets Emily Huang, Wake Forest University
5:20 PM	Digital Phenotyping for Post-Operative Surgical Recovery Assessment Patrick Emedom-Nnamdi, Harvard T.H. School of Public Health
5:45 PM	Floor Discussion

JSM 2021 Online Program

Activity Details

American Statistical Association