Open Access
VOL. 6 | 2010 Empirical Bayes in-season prediction of baseball batting averages
Wenhua Jiang, Cun-Hui Zhang

Editor(s) James O. Berger, T. Tony Cai, Iain M. Johnstone

Inst. Math. Stat. (IMS) Collect., 2010: 263-273 (2010) DOI: 10.1214/10-IMSCOLL618


The performance of a number of empirical Bayes methods are examined for the in-season prediction of batting averages with the 2005 Major League baseball data. Among the methodologies considered are new general empirical Bayes estimators in homoscedastic and heteroscedastic partial linear models.


Published: 1 January 2010
First available in Project Euclid: 26 October 2010

MathSciNet: MR2798524

Digital Object Identifier: 10.1214/10-IMSCOLL618

Primary: 62J05 , 62J07
Secondary: 62H12 , 62H25

Keywords: batting average , compound decisions , Empirical Bayes , hitting , nonparametric estimation , Partial linear model , Semiparametric estimation , sports

Rights: Copyright © 2010, Institute of Mathematical Statistics

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