Welcome to the Nonparametric Statistics Section

American Statistical Association


The objective of this section is to provide a forum for the ASA 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.

Latest News:

Congratulations to the newly elected officers of the Section!
  • Chair-Elect 2024: Gerda Claeskens, KU Leuven.
  • Program Chair-Elect 2024: Ana Maria Staicu, North Carolina State University.
  • Treasurer 2024 (Rotates to Secretary in 2025): Anru Zhang, Duke University.
  • Publications Officer 2024-2026: Hongyuan Cao, Florida State University.
  • Council of Sections Representative 2024-2026: Limin Peng, Emory University.

ongratulations to the winners of the 2023 Student Paper Awards of the Section! 
2023 Student Paper Award Winners (alphabetical order): 
  • Manuel Muller, University of Cambridge
  • Rong Tang, UIUC
  • Qi Zhang, Penn State University
Other finalists (alphabetical order): 
  • Qi Xu, UC Irvine
  • Yichi Zhang, NCSU
  • Yidong Zhou, UC Davis
They will be presented in a special topic-contributed session at JSM 2023. In addition, the best presentation award winner will be selected from the finalists. The awards, including the best presentation award, will be given at the Business Meeting of the Section at JSM 2023. 

Upcoming Events 

2024 Joint Statistical Meeting, 

The conference will be held from August 3-8, 2024. For more information, see https://ww2.amstat.org/meetings/jsm/2024/

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