	PEOPLE	CENTERS	COMMUNITIES	RESEARCH STORIES

NONPARAMETRIC TOTAL VARIATION REGRESSION FOR MULTIVARIATE PROCESS DATA

NONPARAMETRIC TOTAL VARIATION REGRESSION FOR MULTIVARIATE PROCESS DATA

PI: Michael Pokojovy

Sponsor: NATIONAL SCIENCE FOUNDATION

Mathematical Sciences

Amount awarded: $119,853

This project develops nonparametric statistical and algorithmic tools aimed at nonparametrically estimating the process mean identifying the presence and/or type of shift in the mean.

Posting date: Tue, 06/07/2022

Award start date: Thu, 09/15/2022

Award end date: Sun, 08/31/2025

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This material is based upon work supported in part by the Research & Innovation and the National Science Foundation under Grant No. DUE-0963648 and CREST Grant No. HRD-1242122. Any opinions, findings, and conclusions or recommendations expressed in this material are those of the author(s) and do not necessarily reflect the views of the National Science Foundation (NSF).