Bayesian modeling and computation in python, hardback/junpeng lao

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.

Publisher: Taylor & Francis Ltd Author(s): Junpeng Lao Number of pages: 398 Collection: Chapman & Hall/CRC Texts in Statistical Science Publication date: 2021 Dimensions: 182 x 366 x 27 Cover type: Hardback.