Bayesball: A Bayesian hierarchical model for evaluating fielding in major league baseball

DOI10.1214/08-AOAS228zbMath1166.62385arXiv0802.4317MaRDI QIDQ2270656

Abraham J. Wyner, Kenneth E. Shirley, Shane T. Jensen

Publication date: 29 July 2009

Published in: The Annals of Applied Statistics (Search for Journal in Brave)

Full work available at URL: https://arxiv.org/abs/0802.4317

zbMATH Keywords

spatial modelsBayesian shrinkagebaseball fielding

Mathematics Subject Classification ID

Bayesian inference (62F15) Applications of statistics (62P99)

Related Items (4)

Lessons From Between the White Lines for Isolated Data Scientists ⋮ Moneybarl: exploiting pitcher decision-making using reinforcement learning ⋮ A Bayesian hierarchical model for estimating the cost of postponing the cyclo-cross national championships ⋮ Bayesball: A Bayesian hierarchical model for evaluating fielding in major league baseball

Uses Software

• BayesDA

Cites Work

• Unnamed Item
• Bayesball: A Bayesian hierarchical model for evaluating fielding in major league baseball
• Stochastic Relaxation, Gibbs Distributions, and the Bayesian Restoration of Images
• A State-Space Model for National Football League Scores
• Bayesian Analysis of Binary and Polychotomous Response Data
• Prior distributions for variance parameters in hierarchical models (Comment on article by Browne and Draper)

This page was built for publication: Bayesball: A Bayesian hierarchical model for evaluating fielding in major league baseball