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Activity Number:
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141
- Bayesian Meets Basketball
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Type:
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Invited
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Date/Time:
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Tuesday, August 10, 2021 : 10:00 AM to 11:50 AM
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Sponsor:
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Section on Statistics in Sports
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Abstract #314472
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Title:
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It's Fun Getting into (Foul) Trouble
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Author(s):
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Dani Chu* and Tim Swartz
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Companies:
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Seattle Kraken and Simon Fraser University
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Keywords:
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bayesian analysis;
Censoring;
Constarints;
failure time distributions;
predictive inference
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Abstract:
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This project investigates the fouling time distribution of players in the National Basketball Association. A Bayesian analysis is presented based on the assumption that fouling times follow a Gamma distribution. Methods are developed that will allow coaches to better manage their players under the threat of fouling out. Various minute allocations for star player under the threat of fouling out are suggested and evaluated.
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Authors who are presenting talks have a * after their name.
