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Closed Form Bayesian Inferences for Binary Logistic Regression with Applications to American Voter Turnout

Understanding the factors that influence voter turnout is a fundamentally important question in public policy and political science research. Bayesian logistic regression models are useful for incorporating individual level heterogeneity to answer these and many other questions. When these questions...

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Gardado en:
Principais autores: Kevin Dayaratna, Jesse Crosson, Chandler Hubbard
Formato: Artigo
Idioma:Inglês
Publicado: MDPI AG 2022-11-01
Series:Stats
Assuntos:
Bayesian inference
Emprical Bayes
U.S. elections
voter turnout
Acceso en liña:https://www.mdpi.com/2571-905X/5/4/70
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