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Bayesian networks with examples in R

Introduction. The Discrete Case: Multinomial Bayesian Networks. The Continuous Case: Gaussian Bayesian Networks. More Complex Cases. Theory and Algorithms for Bayesian Networks. Real-World Applications of Bayesian Networks. Appendices. Bibliography

Bibliographic Details
Main Author: Scutari, Marco
Format: eBook
Language:English
Published: Boca Raton, FL CRC Press, Taylor & Francis Group 2015
Series:Chapman & Hall/CRC texts in statistical science series
Subjects:
R (langage De Programmation)
Bayesian Statistical Decision Theory / Data Processing
Bayesian Statistical Decision Theory / Http://id.loc.gov/authorities/subjects/sh85012506
Mathematics / Applied / Bisacsh
R (computer Program Language) / Fast
Théorie De La Décision Bayésienne / Informatique
Théorie De La Décision Bayésienne
Mathematics / Probability & Statistics / General / Bisacsh
Bayesian Statistical Decision Theory / Fast
R (computer Program Language) / Http://id.loc.gov/authorities/subjects/sh2002004407
Bayesian Statistical Decision Theory / Data Processing / Fast
Online Access:
Collection: O'Reilly - Collection details see MPG.ReNa
Description
Summary:Introduction. The Discrete Case: Multinomial Bayesian Networks. The Continuous Case: Gaussian Bayesian Networks. More Complex Cases. Theory and Algorithms for Bayesian Networks. Real-World Applications of Bayesian Networks. Appendices. Bibliography
Physical Description:xv, 225 pages .
ISBN:148222559X
0429196245
9781482225594

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