Introduction to bayesian inference, methods and computation, an
Auteur :
Heard, Nick
Éditeur :
Springer Nature Switzerland AG
ISBN :
9783030828103
Date de publication :
19 oct. 2022
Dimensions :
23,5 x 15,5 cm
Langue :
Anglais
Pays d'origine :
Suisse
The course covers the fundamental philosophy and principles of Bayesian inference, including the reasoning behind the prior/likelihood model construction synonymous with Bayesian methods, through to advanced topics such as nonparametrics, Gaussian processes and latent factor models.