Computational bayesian statistics: an introduction
Auteur :
Amaral Turkman, M. Antónia / Paulino, Carlos Daniel / Müller, Peter
Éditeur :
Cambridge University Press
ISBN :
9781108703741
Date de publication :
28 févr. 2019
Dimensions :
22,7 x 15,2 x 1,3 cm
Poids :
370 g
Format :
Trade paperback (US)
Langue :
Anglais
Pays d'origine :
Grande Bretagne
This book explains the fundamental ideas of Bayesian analysis, with a focus on computational methods such as MCMC and available software such as R/R-INLA, OpenBUGS, JAGS, Stan, and BayesX. It is suitable as a textbook for a first graduate-level course and as a user's guide for researchers and graduate students from beyond statistics.