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Activity Number: 141 - Bayesian Meets Basketball
Type: Invited
Date/Time: Tuesday, August 10, 2021 : 10:00 AM to 11:50 AM
Sponsor: Section on Statistics in Sports
Abstract #314472
Title: It's Fun Getting into (Foul) Trouble
Author(s): Dani Chu* and Tim Swartz
Companies: Seattle Kraken and Simon Fraser University
Keywords: bayesian analysis; Censoring; Constarints; failure time distributions; predictive inference
Abstract:

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.


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

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