Generalized Linear Models A Bayesian Perspective Chapman & Hall/CRC Biostatistics Series
Coordonnateurs : Dey Dipak K., Ghosh Sujit K., Mallick Bani K.
Date de parution : 11-2019
17.4x24.6 cm
Date de parution : 05-2000
Ouvrage de 420 p.
17.4x24.6 cm
Thème de Generalized Linear Models :
Mots-clés :
Cumulative Distribution Function; Posterior Distribution; Posterior Predictive Distribution; Gibbs Sampling; MCMC Method; MCMC Algorithm; Dirichlet Process; Data Sets; Full Conditional Distributions; Chib's Method; Full Conditional; Generalized Linear Models; Posterior Model Probabilities; MCMC; Conditional Posterior Distributions; Bayesian Variable Selection; Markov Chain Monte Carlo Algorithms; Multivariate Probit Models; Prior Model Probabilities; Scale Mixture; Prior Distribution; Mixture Model; Joint Posterior Distribution; GLMM; Mars Model