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Activity Number: 57 - Nonparametric Modeling I
Type: Contributed
Date/Time: Sunday, August 8, 2021 : 3:30 PM to 5:20 PM
Sponsor: Section on Nonparametric Statistics
Abstract #319064
Title: Testing Hypotheses in Large, Complex Data Using Nonparametric Data Science
Author(s): Sunil Mathur*
Companies: Texas A&M University-Corpus Christi
Keywords: Nonparametric; Data Science; Testing; Big data

Existing statistical tools, most of them are developed to draw inference from incomplete information available, have not been able to keep up with the speed of advancements in modern technologies generating a massive amount of continuous streaming data and other forms of data. We propose nonparametric analytical tools and concepts that are needed to analyze massive data to keep up with rapidly growing technology and which can also be used in the analysis of continuous streaming big data.

Authors who are presenting talks have a * after their name.

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