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Bayesian Networks: With Examples in R (Chapman & Hall/CRC Texts in Statistical Science)

Marco Scutari, Jean-Baptiste Denis




[PDF.oy33] Bayesian Networks: With Examples in R (Chapman & Hall/CRC Texts in Statistical Science)

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 | #237431 in Books |  CRC Press |  2014-06-20 | Original language:English | PDF # 1 |  9.30 x.80 x6.10l,.0 | File type: PDF | 241 pages

 | CRC Press

||4 of 4 people found the following review helpful.| This book has really good examples. After working through the text|By hidden name|This book has really good examples. After working through the text, I am using Bayesian Networks at work. The visual nature of a Bayesian Network allows me to present and explain models to my boss. As long as I keep the number of nodes and arcs low, my presentations are a huge success. ||"… an excellent introduction to Bayesian networks with detailed user-friendly examples and computer-aided illustrations. I enjoyed reading Bayesian Networks: With Examples in R and think that the book will serve very well as an introdu

Understand the Foundations of Bayesian Networks―Core Properties and Definitions Explained

Bayesian Networks: With Examples in R introduces Bayesian networks using a hands-on approach. Simple yet meaningful examples in R illustrate each step of the modeling process. The examples start from the simplest notions and gradually increase in complexity. The authors also distinguish the probabilistic models from their estimation with data s...

You easily download any file type for your device.Bayesian Networks: With Examples in R (Chapman & Hall/CRC Texts in Statistical Science)   |  Marco Scutari, Jean-Baptiste Denis. I was recommended this book by a dear friend of mine.

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