Prior processes and their applications: nonparametric bayesian estimation
Auteur :
Phadia, Eswar G.
Éditeur :
Springer International Publishing AG
ISBN :
9783319813707
Date de publication :
22 avr. 2018
Dimensions :
23,5 x 15,5 cm
Langue :
Anglais
Pays d'origine :
Suisse
After an overview of different prior processes, it examines the now pre-eminent Dirichlet process and its variants including hierarchical processes, then addresses new processes such as dependent Dirichlet, local Dirichlet, time-varying and spatial processes, all of which exploit the countable mixture representation of the Dirichlet process.