Computational Bayesian Statistics

Computational Bayesian Statistics
Author: M. Antónia Amaral Turkman
Publisher: Cambridge University Press
Total Pages: 256
Release: 2019-02-28
Genre: Business & Economics
ISBN: 1108481035


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This integrated introduction to fundamentals, computation, and software is your key to understanding and using advanced Bayesian methods.


Computational Bayesian Statistics
Language: en
Pages: 256
Authors: M. Antónia Amaral Turkman
Categories: Business & Economics
Type: BOOK - Published: 2019-02-28 - Publisher: Cambridge University Press

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This integrated introduction to fundamentals, computation, and software is your key to understanding and using advanced Bayesian methods.
Bayesian Core: A Practical Approach to Computational Bayesian Statistics
Language: en
Pages: 265
Authors: Jean-Michel Marin
Categories: Mathematics
Type: BOOK - Published: 2007-05-26 - Publisher: Springer Science & Business Media

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This Bayesian modeling book is intended for practitioners and applied statisticians looking for a self-contained entry to computational Bayesian statistics. Foc
Understanding Computational Bayesian Statistics
Language: en
Pages: 255
Authors: William M. Bolstad
Categories: Mathematics
Type: BOOK - Published: 2011-09-20 - Publisher: John Wiley & Sons

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A hands-on introduction to computational statistics from a Bayesian point of view Providing a solid grounding in statistics while uniquely covering the topics f
Bayesian Modeling and Computation in Python
Language: en
Pages: 420
Authors: Osvaldo A. Martin
Categories: Computers
Type: BOOK - Published: 2021-12-28 - Publisher: CRC Press

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Bayesian Modeling and Computation in Python aims to help beginner Bayesian practitioners to become intermediate modelers. It uses a hands on approach with PyMC3
Bayesian Computation with R
Language: en
Pages: 304
Authors: Jim Albert
Categories: Mathematics
Type: BOOK - Published: 2009-04-20 - Publisher: Springer Science & Business Media

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There has been dramatic growth in the development and application of Bayesian inference in statistics. Berger (2000) documents the increase in Bayesian activity