Section on Nonparametric Statistics
The objective of this section is to provide a forum for Association members with interests in flexible statistical methods that make only minimal assumptions on the underlying population or modeling structure. Focus areas include, but are not limited to, distribution free, nonparametric and semiparametric methods, and methods for high-dimensional and functional data. The section embraces the myriad of methodologies, philosophies and applications that comprise contemporary nonparametric statistics, seeks to promote research, education and training in them and to build cooperative relationships within and outside the ASA with those who have interest in nonparametrics.
2014 JSM News
- 2014 JSM Section on Nonparametric Statistics Reception and Business Meetings
- Chair: David Ruppert, Cornell University
- Time: Tuesday, 8/5/2014, 5:30 PM - 6:30 PM
- Room: S-Seaport Ballroom C
- At 2014 JSM, Section on Nonparametric Statistics is proud to sponsor the following invited sessions
- 202: Shape-Restricted Function Estimation. (Organizer: Bodhisattva Sen, Columbia University)
- 535: Model and Variable Selection, and Beyond. (Organizer: Ingrid Van Keilegom, Université Catholique de Louvain)
- 582: Modern Nonparametrics and Recent Development: Beyond Statistics. (Organizer: Jiayang Sun, Case Western Reserve University)
and seven topic-contributed-paper sessions
- 57: Recent Development in Sufficient Dimension Reduction. (Organizer: Qin Wang, Virginia Commonwealth University)
- 162: Statistical Methods for Generalized Functional Data. (Organizer: Sonja Greven, LMU Munich)
- 281: Recent Advances in the Analysis of Ranking Data. (Organizer: Michael G. Schimek, Medical University of Graz)
- 383: Robust Functional Data Analysis. (Organizer: Nedret Billor, Auburn University)
- 494: Recent Developments on Ranked Set and Judgment Post-Stratified Sampling Designs. (Organizer: Omer Ozturk, Ohio State University)
- 495: Recent Advances in Longitudinal Analysis. (Organizer: Xin Tian, NHLBI/NIH)
- 638: Biosignatures: Topics in Predicting Scalar Outcomes Using Complex Data. (Organizer: R. Todd Ogden, Columbia University)
and the following contributed-paper sessions
- 35: Methods Using Permutation and Ranking. (Chair: Mary Meyer, Colorado State University)
- 36: Methods in Nonparametric Statistics. (Chair: Mohammed Chowdhury, George Washington University)
- 76: Density Estimation. (Chair: Rajarshi Dey)
- 131: Big Data: Advances in Dimension Reduction. (Chair: Wenli Luo, AstraZeneca)
- 132: Novel Applications Using Nonparametric Methods. (Chair: Vicki Burt, National Health and Nutrition Examination Survey)
- 174: Section on Nonparametric Statistics. (Chair: Jin Wang, Northern Arizona University)
- 238: Nonparametric Test. (Chair: Sherri Rose, Harvard Medical School)
- 296: Methods in Nonparametrics. (Chair: Mary Meyer, Colorado State University)
- 340: Big Data Methods for Medical Applications. (Chair: Edward L. Boone, Virginia Commonwealth University)
- 400: Nonparametic Modeling. (Chair: Maarten Jansen, Universite Libre de Bruxelles)
- 463: Nonparametric Methods for High-Dimensional Data. (Chair: Gerda Claeskens, KU Leuven)
- 505: Nonparametric Methods. (Chair: Ronald Gangnon, University of Wisconsin)
- 610: Nonparametric Methods. (Chair: Zhu Ming, AbbVie)
- Here is the 2014 finalist for student best paper award.Congratulations to the award winners for their accomplishments!
The Section on Nonparametric Statistics thanks the award committee chair and all the referees for their excellent job in evaluating and selecting the papers.
2013 is the International Year of Statistics.
- The Nonparametric Statistics Section, ASA, is proud to be one of over 410 participating organizations for the International Year of Statistics.
- International Year of Statistics latest newsletter.
- International Year of Statistics past newsletters.
- The goals of the International Year of Statistics (also known as Statistics 2013) include the following:
- Increasing public awareness of the power and effect of statistics on all aspects of society
- Nurturing statistics as a profession, especially among young people
- Promoting creativity and development in the sciences of probability and statistics