Logistic Regression Model for a Bivariate Binomial Distribution with Applications in Baseball Data Analysis

Logistic Regression Model for a Bivariate Binomial Distribution with Applications in Baseball Data Analysis

There has been a considerable amount of literature on binomial regression models that utilize well-known link functions, such as logistic, probit, and complementary log-log functions. The conventional binomial model is focused only on a single parameter representing one probability of success. Howev...

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Bibliographic Details
Main Authors: Yewon Han, Jaeho Kim, Hon Keung Tony Ng, Seong W. Kim
Format: Article
Language:English
Published: MDPI AG 2022-08-01
Series:Entropy
Subjects:
bivariate binomial distribution
gibbs sampling
logistic regression
Metropolis–Hastings algorithm
random effect
posterior mean
Online Access:https://www.mdpi.com/1099-4300/24/8/1138

Internet

https://www.mdpi.com/1099-4300/24/8/1138

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