Computational Bayesian Statistics

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Computational Bayesian Statistics

Author	: M. Antónia Amaral Turkman
Publisher	: Cambridge University Press
Total Pages	: 256
Release	: 2019-02-28
ISBN-10	: 9781108481038
ISBN-13	: 1108481035
Rating	: 4/5 (035 Downloads)

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Book Synopsis Computational Bayesian Statistics by : M. Antónia Amaral Turkman

Download or read book Computational Bayesian Statistics written by M. Antónia Amaral Turkman and published by Cambridge University Press. This book was released on 2019-02-28 with total page 256 pages. Available in PDF, EPUB and Kindle. Book excerpt: This integrated introduction to fundamentals, computation, and software is your key to understanding and using advanced Bayesian methods.

Computational Bayesian Statistics Related Books

Language: en
Pages: 256

Computational Bayesian Statistics

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.

Language: en
Pages: 255

Understanding Computational Bayesian Statistics

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

Language: en
Pages: 265

Bayesian Core: A Practical Approach to Computational Bayesian Statistics

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

Language: en
Pages: 420

Bayesian Modeling and Computation in Python

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

Language: en
Pages: 300

Bayesian Computation with R

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