News

2024 JSM News

- 2024 JSM Section on Nonparametric Statistics Program

Chair: Lingzhou Xue, Penn State University

- At 2024 JSM, Section on Nonparametric Statistics has sponsored 1 roundtable discussion:

  • Robustness in the 21st century (organizer: Ana-Maria Staicu; speaker: Richard Samworth)

1 short course:

  • Statistical Inference in Large Language Models (instructors: Emily Getzen, Weijie Su and Linjun Zhang)

3 invited paper sessions:

  • Innovation in Statistical and Machine Learning Methods for Complex Dependent Data in High Dimensions (organizer: Chunming Zhang)
  • Advances in Nonparametric Learning and Inference for Complex Data (organizer: Xiufan Yu)
  • Structural Discovery and Inference with Complex Data (organizer: Lan Wang)

and 4 topic-contributed paper sessions:

  • Recent Advances in High-Dimensional Complex Models (organizer: Shuheng Zhou)
  • Statistical Inference Under Shape Constraints (organizer: Theodore Westling)
  • Advanced Statistical Methods in Nonparametric Statistics and Causal Inference for Complex Data Structures (organizer: Satarupa Bhattacharjee)
  • Nonparametric Statistics Section Student Paper Award (organizer: Hao Chen)

2023 JSM News

- 2023 JSM Section on Nonparametric Statistics Program

Chair: Long Nguyen, University of Michigan

- At 2023 JSM, Section on Nonparametric Statistics has sponsored 4 invited sessions:

  • Change-point modeling and analytics for complex data (organizer: Piotr Fryzlewicz)
  • New advances of nonparametric statistics in the light of modern data (organizer: Chunming Zhang, discussant: Xuming He)
  • Bridging deep learning and nonparametric statistics for complex data analysis (organizer: Guanqun Cao)
  • Deep learning in semiparametric models (organizer: Jiwei Zhao)

and 4 topic-contributed-paper sessions:

  • Innovations in high dimensional clustering, feature extraction and regression (organizer: Shuheng Zhou)
  • Shape-constrained inference in data science (organizer: Theodore Westling)
  • Recent advances in nonparametric modeling with applications (organizer: Hyebin Song)
  • Nonparametric statistics section student paper award (organizer: Jiwei Cao and Long Nguyen)

2022 JSM News

- 2022 JSM Section on Nonparametric Statistics Program

Chair: Yichao Wu, University of Illinois at Chicago

- At 2022 JSM, Section on Nonparametric Statistics has sponsored 4 invited sessions:

  • Recent Advances in Change-Point Analysis (Organizer: Xiaofeng Shao, University of Illinois at Urbana-Champaign)
  • Deep Learning, Nonparametric Statistics, and Beyond (Organizer: Yufeng Liu, University of North Carolina)
  • Modern Nonparametric Methods, with Applications in Complex Biomedical Data (Organizer: Tracy Ke, Harvard University)
  • Recent Advances in Rank-Based Inference (Organizer: Marc Hallin, Université libre de Bruxelles)

and 4 topic-contributed-paper sessions:

  • Complex Functional and Non-Euclidean Data Analysis (Organizer: Kuang-Yao Lee, Temple University)
  • Nonparametric Statistics Student Paper Competition Presentations (Organizer: Lingzhou Xue, Penn State University)
  • New Statistical Models for Functional Data/ Longitudinal Data (Organizer: Mengying You, University of Pennsylvania)
  • Statistical Challenges and Novel Methodologies for Analyzing Health Outcomes (Organizer: Li-Shan Huang, National Tsing Hua University)

2021 JSM News

- 2021 JSM Section on Nonparametric Statistics Program

Chair: Alexander Aue, University of California, Davis

- At 2021 JSM, Section on Nonparametric Statistics has sponsored 4 invited sessions:

  • Change-Points in Multivariate and High-Dimensional Data (Organizer: Piotr Fryzlewicz, London School of Economics)
  • Recent Developments in Statistical Inference Using Distance Correlation and Related Dependence Metrics (Organizer: Xiaofeng Shao, University of Illinois at Urbana-Champaign)
  • New Statistical Learning and Methods in Nonparametric Statistics (Organizer: Rui Song, North Carolina State University)
  • Modern Statistical Learning of Complex Data (Organizer: Lily Wang, Iowa State University)

and 4 topic-contributed-paper sessions:

  • Statistical Inference for Random Networks and Matrices (Organizer: Min Xu, Rutgers University)
  • Challenges and Recent Advances in Private Data Analysis (Organizer: Linjun Zhang, Rutgers University)
  • Nonparametric Statistics Student Paper Competition Presentations (Organizer: Li-Shan Huang, National Tsing Hua University)
  • Statistical Challenges in Cosmology (Organizer: Collin Politsch, Carnegie Mellon University)

2020 JSM News

- 2020 JSM Section on Nonparametric Statistics Program

Chair: Yanyuan Ma, Penn State University

- At 2020 JSM, Section on Nonparametric Statistics has sponsored 3 invited sessions:

  • Move Non/Semiparametrics Forward in Causal Inference, Missing Data Analysis, and Data Integration (Organizer: Jiwei Zhao, State University of New York at Buffalo)
  • Complex Functional Data Analysis with Biomedical Applications (Organizer: Kuang-Yao Lee, Temple University)
  • New Quantile-Modeling Methods for Large-Scale Heterogeneous Data (Organizer: Lan Wang, University of Minnesota)

and 4 topic-contributed-paper sessions:

  • New Statistical Methods for Longitudinal Data Analysis (Organizer: Anne Buu, University of Texas Health Science Center at Houston
  • Virtual Sufficient Dimension Reduction and Variable Selection for High-Dimensional Inference (Organizer: Wenbo Wu, University of Texas at San Antonio)
  • Student Paper Competition Presentations (Organizer: Damla Senturk, UCLA)
  • Statistical and Computational Challenges in Nonparametric Learning (Organizer: Lingzhou Xue, Penn State University)

2019 JSM News

- 2019 JSM Section on Nonparametric Statistics Program

Chair: Bing Li, Penn State University

- At 2019 JSM, Section on Nonparametric Statistics has sponsored 3 invited sessions and co-sponsored 5 other invited sessions,

  • Recent Advances in Nonparametric Statistical Methods for Complex Data (organized by Lingzhou Xue, Penn State University)

  • Recent Developments in Statistical Inference Using Distance Correlation and Related Dependence Metrics (organized by Xiaofeng Shao, University of Illinois at Urbana Champaign)

  • Statistical Analysis of Tensor Data (organized by Xin Zhang, Florida State University)

4 topic-contributed-paper sessions, and co-sponsored 5 other topic-contributed sessions,

  • New Challenges and Opportunities in Nonparametric Statistics (organized by Lingzhou Xue, Penn State University)

  • Novel Statistical Approaches to Time Series of Networks (organized by Hernando Ombao, King Abdullah University of Science and Technology)

  • Section on Nonparametric Statistics - Student Paper Awards (organized by Howard Bondell, University of Melbourne)

  • Recent Advances in Density Mixture Modeling and EM-Like Algorithms: Frequentist and Bayesian Views (organized by Michael Levine, Purdue University)

We thank the Program Chair, Bing Li, for putting together a wonderful program.

2018 JSM News

- 2018 JSM Section on Nonparametric Statistics Program

Chair: Lan Wang, University of Minnesota

- At 2018 JSM, Section on Nonparametric Statistics has sponsored 5 invited sessions (two through competition), and co-sponsored 6 other invited sessions,

  • Non- and Semiparametric Methods to Accommodate Dependency and Heterogeneity in Complex Data (organized by Naisyin Wang, U of Michigan)

  • Quantile Based Modeling for a Variety of Heteroscedastic Data (organized by Naveen Narisetty, University of Illinois at Urbana Champaign)

  • High Dimensional Nonparametric Statistics (organized by Lingzhou Xue, Penn State University)

  • Recent Advance of Nonparametric and Semiparametric Techniques with Complex Data Structure (organized by Jiwei Zhao, State University of New York At Buffalo)

  • Recent Advances in Change-point Detection and Segmentation (organized by Piotr Fryzlewicz, London School of Economics)

5 topic-contributed-paper sessions, and co-sponsored 5 other topic-contributed sessions,

  • Novel Statistical Methods for Variable Selection with Applications (organized by Xiangrong Yin, University of Kentucky)

  • Papers in Honor of Professor James R. Thompson (1938-2017) (organized by David W Scott, Rice University)

  • Section on Nonparametric Statistics - Student Paper Awards (organized by Howard D Bondell, University of Melbourne)

  • New Frontiers of Functional Data Analysis (organized by Yehua Li, UC Riverside)

  • New Advances in Semiparametric Modeling and Testing for Complex Data (organized by Li-Shan Huang, Institute of Statistics, National Tsing Hua University, Taiwan)

We thank the Program Chair, Lan Wang, for putting together a wonderful program.

2017 JSM News

- 2017 JSM Section on Nonparametric Statistics Program

Chair: Xuming He, University of Michigan

- At 2017 JSM, Section on Nonparametric Statistics has sponsored five invited sessions,

  •  2*!: Phase Variation (Curve Registration) in Functional Data Analyzing. (Organizer: J. S. (Steve) Marron, University of North Carolina)
  • 91: Statistical Methods for Analysis of Time-Varying Network Data. (Organizer: Marianna Pensky, University of Central Florida)
  • 310: Advances and Novel Problems in Flexible Analysis of Clustered Data with Complex Structures. (Organizer(s): Lan Wang, University of Minnesota)
  • 479: Statistical Analysis of Complex Imaging Data. (Organizer(s): Dehan Kong, University of Toronto)
  • 631: Recent Developments in Statistical Inference Using Distance Correlation and Related Dependence Metrics. (Organizer(s): Xiaofeng Shao, University of Illinois, At Urbana-Champaign)

four topic-contributed-paper sessions,

  • 220: Robust Multivariate and High-Dimensional Analysis Using Functional Data Ranking. (Organizer: Ying Sun, King Abdullah University of Science and Technology)\
  • 330: Advances in Inference of Networks. (Organizer: Sharmodeep Bhattacharyya, Oregon State University)
  • 499: Nonparametric Multiple Comparison in High Dimensions with Model Uncertainity. (Organizer: Solomon Harrar, University of Kentucky)
  • 617: Recent Developments on Order-Related Designs and Inferences. (Organizer: Bingchen Liu, Educational Testing Service)

and the following contributed-paper and contributed Speed sessions

  • 73: Nonparametric Statistics in High-Dimensional Settings. (Chair: Zsolt Talata, University of Kansas)
  • 129: Quantile and Nonparametric Regression Models. (Chair:  Matthew Reimherr, Penn State)
  • 161: SPEED: Nonparametrics & Imaging. (Chair:  Suzanne Thornton, Rutgers University)
  • 297: Advances in Nonparametric Testing. (Chair: Nitis Mukhopadhyay, University of Connecticut)
  • 405: Nonparametric Testing in Complex Data Settings. (Chair: Piotr Fryzlewicz, London School of Economics)
  • 474: Nonparametric Density and Variance Estimation. (Chair: Damian Brzyski, Indiana University)
  • 582: Statistical Methods for Functional Data. (Chair: Jeff Goldsmith, Columbia University)
  • 669: Recent Advances in Nonparametric Statistics. (Chair: Frank Konietschke, University of Texas at Dallas)

We thank the Program Chair, Xuming He, for putting together such a great program.

2016 JSM News

- 2016 JSM Section on Nonparametric Statistics Program

Chair: Naisyin Wang, University of Michigan

- At 2016 JSM, Section on Nonparametric Statistics is proud to sponsor five invited sessions,

  •  13: Advances and Novel Problems in Network Statistics. (Organizer: David Sungjun Choi, Carnegie Mellon University)
  • 102: Advances in Bayesian Regression Tree Modeling. (Matthew Pratola, The Ohio State University)
  • 223: Nonparametric Bayesian Methods in Biostatistics. (Jeremy M. G. Taylor, University of Michigan, Lili Zhao, University of Michigan)
  • 329: Recent Advances in Inference for Measurement Error Regression Models. (Organizer:  Hira L. Koul, Michigan State University)
  • 587: Resampling Methods for High-Dimensional Inference (Organizer: Miles Lopes, University of California at Davis)

six topic-contributed-paper sessions,

  • 62: Recent Advances in Bayesian Nonparametric Methods. (Organizer: Peter Mueller, The University of Texas at Austin)
  • 156: Shedding Lights on the Hidden Structure Using Mixture Models: New Methods with Applications. (Organizer: Zheyu Wang, The Johns Hopkins University)
  • 421: Nonparametric Methods for Longitudinal Data to Promote Healthy Birth, Growth, and Development. (Organizer: Hans-Georg Mueller, University of California at Davis)
  • 532: Novel Statistical Methods for Deciphering Genotype-Phenotype Map. (Organizer: Chuanhua Julia Xing, XPrecision)
  • 599: Bayesian Nonparametric and Semiparametric Methods for Causal Inference. (Organizer: Kirsten J. Lum, University of Pennsylvania)
  • 638: New Frontiers in Analyzing Complex Data in Epidemiology.  (Organizer: Chad He, Fred Hutchinson Cancer Research Center)

and the following contributed-paper sessions

  • 83: Nonparametric and Semiparametric Methods. (Chair: Hubert J. Chen, University of Georgia)
  • 86: Biomedical Applications of Nonparametric Methods. (Chair:  Sunil Mathur, Georgia Regents University)
  • 124: SPEED: Advances in Nonparametric Statistics. (Chair:  Derek Young, University of Kentucky)
  • 125: Statistical Methods for Functional Data. (Chair: ndrada E. Ivanescu, Montclair State University)
  • 139: Bayesian Nonparametrics. (Chair: Robert Richardson, Brigham Young University)
  • 182: Nonparametric Statistics. (Chair: Miles Lopes, University of California at Davis)
  • 185: Special Session: Section on Nonparametrics Student Paper Competition (Chair: Jianhui Zhou, Healthy Birth, Growth and Development knowledge integration (HBGDki) Community)
  • 260: Nonparametric Methods for 'Big Data' (Chair: Karunarathna Kulasekera, University of Louisville)
  • 324: Nonparametric Methods for High-Dimensional Data (Chair: Su Chen, University of Memphis)
  • 369: Nonstandard Errors: Heteroskedasticity and Errors-in-Variables (Chair: Esther Lu, Washington University School of Medicine)
  • 508: Nonparametric Methods for Longitudinal Data (Chair: Bilin Zeng, California State University at Bakersfield)
  • 553: Nonparametric Models (Chair: Vanda Lourenco, Universidade Nova de Lisboa)
  • 622: Nonparametric Tests (Chair: Jin Wang, Northern Arizona University)
  • 667: Applications of Nonparametric Methods (Chair: Megan Heyman, Rose-Hulman Institute of Technology)
  • 709: Nonparametric Methods with Nonstandard Assumptions and Conditions (Chair: Ran Dai, The University of Chicago) 

We thank the Program Chair, Naisyin Wang, for putting together such a great program. Please attend these sessions and show your support. 

2015 JSM News

- 2015 JSM Section on Nonparametric Statistics Program

Chair: Hans Muller, University of California, Davis

- At 2015 JSM, Section on Nonparametric Statistics is proud to sponsor four invited sessions,

  • 220: Accelerating Nonparametric Deconvolution. (Organizer: Aurore Delaigle, The University of Melbourne)
  • 287: Complex Data, Inhomogeneous Data and Big Data. (Haonan Wang, Colorado State University)
  • 470: Making Better Decisions via Learning and Integrating Data Information Without Extensive Assumptions. (Organizer: Naisyin Wang, University of Michigan)
  • 670: Beyond Block Models: New Directions in Network Analysis (Organizer: Peter J. Bickel, UC Berkeley)

six topic-contributed-paper sessions,

  • 20: Modern Advancements in Modeling and Inference of Correlated Functional Data. (Organizer: Ana-Maria Staicu, North Carolina State University)
  • 66: New Developments in Nonparametric Analysis of Multivariate and Functional Data: Data Depth and Beyond. (Organizer: Regina Y. Liu, Rutgers University)
  • 119: Empirical Bayes Methods for Modern Data Analysis: Theoretical, Computational, and Practical Aspects. (Organizer: Lee H. Dicker, Rutgers University)
  • 347: New Developments in Empirical Likelihood. (Organizer: Yichuan Zhao, Georgia State University)
  • 527: Modern Nonparametric Methods for Complex Data. (Organizer: Li-Shan Huang, National Tsing Hua University)
  • 674: Data Depth for Robust Multivariate and High-Dimensional Analysis. (Organizer: Ying Sun, King Abdullah University of Science and Technology)

and the following contributed-paper sessions

  • 31: Special Session: Students Paper Award. (Chair: Ursula U. Müller, Texas A&M University)
  • 74: Advances in Nonparametric Modeling: Part 1. (Chair: Sonja Greven, LMU)
  • 135: Advances in Nonparametric Modeling: Part 2. (Chair: Jeff Goldsmith, Columbia University)
  • 180: Advances in Nonparametric Modeling: Part 3. (Chair: Tao Yu, National University of Singapore)
  • 181: Advances in Nonparametric Modeling: Part 4. (Chair: Dehan Kong, The University of North Carolina at Chapel Hill)
  • 318: Advances in Nonparametric Modeling: Part 5. (Chair: Bilin Zeng, California State University at Bakersfield)
  • 427: Advances in Nonparametric Testing: Part 1 (Chair: Yehua Li, Iowa State University)
  • 497: Advances in Nonparametric Testing: Part 2 (Chair: Karunarathna Kulasekera, University of Louisville)
  • 498: Bayesian Nonparametrics, U-Statistics, Saddle Point and Quantile Model (Chair: Ruiyan Luo, Georgia State University)
  • 607: Nonparametric Methods for Big Data, Empirical Likelihood and Addiitive Model (Chair: Li-Shan Huang, National Tsing Hua University)
  • 650: Advances in High-Dimensional Data Nonparametrics: Part 1 (Chair: Xin Qi, Georgia State University)
  • 692: Advances in High-Dimensional Data Nonparametrics: Part 2 (Chair: Meggie Wen, Missouri University of Science and Technology)

The Section on Nonparametric Statistics would like to give special thanks to our Program Chair, Hans Muller, for putting together a great program of invited and contributed talks.