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