Markov chains on metric spaces: a short course
Auteur :
Benaïm, Michel / Hurth, Tobias
Éditeur :
Springer International Publishing AG
ISBN :
9783031118210
Date de publication :
22 nov. 2022
Dimensions :
23,5 x 15,5 cm
Langue :
Anglais
Pays d'origine :
Suisse
This book gives an introduction to discrete-time Markov chains which evolve on a separable metric space. The book can serve as the core for a semester- or year-long graduate course in probability theory withan emphasis on Markov chains or random dynamics.