Bayesian missing data problems: em, data augmentation and noniterative computation
Auteur :
Tan, Ming T. / Tian, Guo-Liang / Ng, Kai Wang
Éditeur :
Taylor & Francis Ltd
ISBN :
9781420077490
Date de publication :
26 août 2009
Dimensions :
23,4 x 15,6 cm
Poids :
800 g
Langue :
Anglais
Pays d'origine :
Grande Bretagne
Presents solutions to missing data problems through explicit or noniterative sampling calculation of Bayesian posteriors, based on the inverse Bayes formulae. This work focuses on exact numerical solutions, a conditional sampling approach via data augmentation, and a noniterative sampling approach via EM-type algorithms.