A comparative study on the performance of frequentist and Bayesian estimation methods under separation in logistic regression

DOI10.31801/CFSUASMAS.614492zbMath1489.62221OpenAlexW3038611635MaRDI QIDQ5083480

Yasin Altinisik

Publication date: 20 June 2022

Published in: Communications Faculty Of Science University of Ankara Series A1Mathematics and Statistics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.31801/cfsuasmas.614492

zbMATH Keywords

logistic regressionbiasseparation problemfrequentist and Bayesian estimation

Mathematics Subject Classification ID

Bayesian inference (62F15) Generalized linear models (logistic models) (62J12)

Uses Software

• runjags
• rstanarm
• bootstrap
• BayesReg

Cites Work

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• A weakly informative default prior distribution for logistic and other regression models
• On the use of Cauchy prior distributions for Bayesian logistic regression
• The geometric foundations of Hamiltonian Monte Carlo
• Data Representations, Transformations, and Statistics for Visual Reasoning
• On the existence of maximum likelihood estimates in logistic regression models
• Stochastic Relaxation, Gibbs Distributions, and the Bayesian Restoration of Images
• Bias reduction of maximum likelihood estimates
• Equation of State Calculations by Fast Computing Machines
• Monte Carlo sampling methods using Markov chains and their applications
• An invariant form for the prior probability in estimation problems

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