The Annals of Applied Statistics
- Ann. Appl. Stat.
- Volume 3, Number 2 (2009), 491-520.
Bayesball: A Bayesian hierarchical model for evaluating fielding in major league baseball
The use of statistical modeling in baseball has received substantial attention recently in both the media and academic community. We focus on a relatively under-explored topic: the use of statistical models for the analysis of fielding based on high-resolution data consisting of on-field location of batted balls. We combine spatial modeling with a hierarchical Bayesian structure in order to evaluate the performance of individual fielders while sharing information between fielders at each position. We present results across four seasons of MLB data (2002–2005) and compare our approach to other fielding evaluation procedures.
Ann. Appl. Stat., Volume 3, Number 2 (2009), 491-520.
First available in Project Euclid: 22 June 2009
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Jensen, Shane T.; Shirley, Kenneth E.; Wyner, Abraham J. Bayesball: A Bayesian hierarchical model for evaluating fielding in major league baseball. Ann. Appl. Stat. 3 (2009), no. 2, 491--520. doi:10.1214/08-AOAS228. https://projecteuclid.org/euclid.aoas/1245676183
- Supplementary material: Gibbs sampling implementation.