Online Program Home
  My Program

All Times EDT

Legend:
* = 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
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