Default priors for the intercept parameter in logistic regressions

DOI10.1016/j.csda.2018.10.014OpenAlexW2790087695WikidataQ90150107 ScholiaQ90150107MaRDI QIDQ1727911

Ananda Sen, Ryan P. Barbaro, Philip S. Boonstra

Publication date: 21 February 2019

Published in: Computational Statistics and Data Analysis (Search for Journal in Brave)

Full work available at URL: https://biostats.bepress.com/umichbiostat/paper123

zbMATH Keywords

rare eventsBayesian methodsexponential-power distributionpivotal separationquasi-complete separation

Mathematics Subject Classification ID

Computational methods for problems pertaining to statistics (62-08) Ridge regression; shrinkage estimators (Lasso) (62J07) Bayesian inference (62F15) Generalized linear models (logistic models) (62J12)

Uses Software

• R
• MASS (R)
• ggplot2
• Stan
• ElemStatLearn
• RStan
• rstan
• catdata

Cites Work

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