Bayesian modeling and computation in python
Auteur :
Martin, Osvaldo A. / Kumar, Ravin / Lao, Junpeng
Éditeur :
Taylor & Francis Ltd
ISBN :
9780367894368
Date de publication :
29 déc. 2021
Dimensions :
25,4 x 17,8 cm
Poids :
1020 g
Langue :
Anglais
Pays d'origine :
Grande Bretagne
Bayesian Modeling and Computation in Python aims to help beginner Bayesian practitioners to become intermediate modelers. It uses a hands on approach with PyMC3, Tensorflow Probability, ArviZ and other libraries focusing on the practice of applied statistics with references to the underlying mathematical theory.