Bayesian Networks In R

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Bayesian Networks

Author	: Marco Scutari
Publisher	: CRC Press
Total Pages	: 275
Release	: 2021-07-28
ISBN-10	: 9781000410389
ISBN-13	: 1000410382
Rating	: 4/5 (382 Downloads)

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Book Synopsis Bayesian Networks by : Marco Scutari

Download or read book Bayesian Networks written by Marco Scutari and published by CRC Press. This book was released on 2021-07-28 with total page 275 pages. Available in PDF, EPUB and Kindle. Book excerpt: Explains the material step-by-step starting from meaningful examples Steps detailed with R code in the spirit of reproducible research Real world data analyses from a Science paper reproduced and explained in detail Examples span a variety of fields across social and life sciences Overview of available software in and outside R

Bayesian Networks Related Books

Language: en
Pages: 275

Bayesian Networks

Authors: Marco Scutari

Categories: Computers

Type: BOOK - Published: 2021-07-28 - Publisher: CRC Press

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Explains the material step-by-step starting from meaningful examples Steps detailed with R code in the spirit of reproducible research Real world data analyses

Language: en
Pages: 704

Learning Bayesian Networks

Authors: Richard E. Neapolitan

Categories: Computers

Type: BOOK - Published: 2004 - Publisher: Prentice Hall

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In this first edition book, methods are discussed for doing inference in Bayesian networks and inference diagrams. Hundreds of examples and problems allow reade

Language: en
Pages: 446

Bayesian Networks

Authors: Olivier Pourret

Categories: Mathematics

Type: BOOK - Published: 2008-04-30 - Publisher: John Wiley & Sons

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Bayesian Networks, the result of the convergence of artificial intelligence with statistics, are growing in popularity. Their versatility and modelling power is

Language: en
Pages: 501

Doing Meta-Analysis with R

Authors: Mathias Harrer

Categories: Mathematics

Type: BOOK - Published: 2021-09-14 - Publisher: CRC Press

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Doing Meta-Analysis with R: A Hands-On Guide serves as an accessible introduction on how meta-analyses can be conducted in R. Essential steps for meta-analysis

Language: en
Pages: 324

Innovations in Bayesian Networks

Authors: Dawn E. Holmes

Categories: Mathematics

Type: BOOK - Published: 2008-10-02 - Publisher: Springer Science & Business Media

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Bayesian networks currently provide one of the most rapidly growing areas of research in computer science and statistics. In compiling this volume we have broug