Predicting Home Run Production in Major League Baseball Using a Bayesian Semiparametric Model

DOI10.1080/00031305.2017.1401959OpenAlexW2769262558MaRDI QIDQ5882537

Jared D. Fisher, Gilbert W. Fellingham

Publication date: 17 March 2023

Published in: The American Statistician (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/00031305.2017.1401959

zbMATH Keywords

predictionorthonormal polynomialsDirichlet process priorperformance curves

Mathematics Subject Classification ID

Statistics (62-XX)

Uses Software

• nimble

Cites Work

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• Inference from iterative simulation using multiple sequences
• Bayesian nonparametric predictive modeling of group health claims
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• Equation of State Calculations by Fast Computing Machines
• Multiple Hypothesis Testing by Clustering Treatment Effects
• Bayesian Inference for Logistic Models Using Pólya–Gamma Latent Variables
• Monte Carlo sampling methods using Markov chains and their applications
• Hierarchical Bayesian modeling of hitting performance in baseball

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