Statistics Papers

Document Type

Journal Article

Date of this Version

2009

Publication Source

Annals of Applied Statistics

Volume

3

Issue

2

Start Page

491

Last Page

520

DOI

10.1214/08-AOAS228

Abstract

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.

Keywords

spatial models, Bayesian shrinkage, baseball fielding

Share

COinS
 

Date Posted: 27 November 2017

This document has been peer reviewed.