Logistic regression by the Bayesian approach and application
Loading...
Date
2021
Authors
Journal Title
Journal ISSN
Volume Title
Publisher
ummto
Abstract
This dissertation is devoted to study the logistic regression using the Bayesian approach. To obtain the posterior distributions of the parameters regression, the Monte Carlo approximation methods by Markov chain (MCMC) are very powerful and indispensable and have there fore been developed in order to approximate the posterior distribution when one does not know how to do it analytically.
Description
67f.:ill.;30cm
Keywords
Régression logistique, Régression logistique bayésienne, Chaîne de Markov (MCMC), Distribution a posteriori
Citation
Probabilités et statistiques