Skip to main content alibris logo

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.

loading
    • eBook Details
    eBook icon PDF eBook Bayesian Modeling and Computation in Python

    This is a digital edition of this title.

    Rent eBook (2 Options)

    Buy eBook

    • Title: Bayesian Modeling and Computation in Python by Osvaldo A. Martin; Ravin Kumar; Junpeng Lao
    • Publisher: Taylor & Francis
    • Print ISBN: 9780367894368, 036789436X
    • eText ISBN: 9781000520040
    • Edition: 2021 1st edition
    • Format: PDF eBook
    $55.00
    digital devices
    • This is a digital eBook
      Nothing will be shipped to you
    • Works with web browsers and the VitalSource app on all Windows, Mac, Chromebook, Kindle Fire, iOS, and Android devices
    • Most eBooks are returnable within 14 days of purchase
    • Questions? See our eBook FAQ