Bayesian inference of binary regression models with parametric link

DOI10.1016/0378-3758(94)90158-9zbMath0798.62036OpenAlexW1971591138WikidataQ126583177 ScholiaQ126583177MaRDI QIDQ1333094

Claudia Czado

Publication date: 8 November 1994

Published in: Journal of Statistical Planning and Inference (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/0378-3758(94)90158-9

zbMATH Keywords

reductionGibbs samplerMetropolis algorithmrejection samplingMarkov chain Monte Carlo algorithmsufficiencybeetle mortality databinary regression modelscomputationally tractable Bayesian inferencegeneralized probit regression modelhybrid sampling algorithmjoint posterior distributionlink transformationsmarginal and joint posterior density estimatesparametric linkposterior calculationsrotifer suspension datasuccess probabilitiestail modification

Mathematics Subject Classification ID

Applications of statistics to biology and medical sciences; meta analysis (62P10) Bayesian inference (62F15) Generalized linear models (logistic models) (62J12) Markov processes: estimation; hidden Markov models (62M05) Probabilistic methods, stochastic differential equations (65C99)

Related Items

Posterior propriety for Bayesian binomial regression models with a parametric family of link functions, Choosing the link function and accounting for link uncertainty in generalized linear models using Bayes factors, On selecting parametric link transformation families in generalized linear models, New links for binary regression: an application to coca cultivation in Peru, Improved estimation for a new class of parametric link functions in binary regression, Flexible cloglog links for binomial regression models as an alternative for imbalanced medical data, Bayesian ordinal and binary regression models with a parametric family of mixture links, Bayesian skew-probit regression for binary response data, A Framework for Skew-Probit Links in Binary Regression, A generalized‐moments specification test for the logistic link

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