Bayesian regression modeling with inla
Auteur :
Wang, Xiaofeng / Ryan Yue, Yu / Faraway, Julian J.
Éditeur :
Taylor & Francis Ltd
ISBN :
9780367572266
Date de publication :
30 juin 2020
Dimensions :
23,4 x 15,6 cm
Poids :
453 g
Langue :
Anglais
Pays d'origine :
Grande Bretagne
This book addresses the applications of extensively used regression models under a Bayesian framework. It emphasizes efficient Bayesian inference through integrated nested Laplace approximations (INLA) and real data analysis using R. The INLA method directly computes very accurate approximations to the posterior marginal distributions and is a p