Bayesian networks with examples in R
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 simpl...
| Other Authors: | , |
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| Format: | eBook |
| Language: | Inglés |
| Published: |
Boca Raton, FL :
Chapman and Hall/CRC, an imprint of Taylor and Francis
2014.
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| Edition: | First edition |
| Series: | Texts in statistical science.
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| Subjects: | |
| See on Biblioteca Universitat Ramon Llull: | https://discovery.url.edu/permalink/34CSUC_URL/1im36ta/alma991009644277806719 |
Table of Contents:
- Front Cover; Contents; Preface; Chapter 1: The Discrete Case: Multinomial Bayesian Networks; Chapter 2: The Continuous Case: Gaussian Bayesian Networks; Chapter 3: More Complex Cases: Hybrid Bayesian Networks; Chapter 4: Theory and Algorithms for Bayesian Networks; Chapter 5: Software for Bayesian Networks; Chapter 6: Real-World Applications of Bayesian Networks; Appendix A: Graph Theory; Appendix B: Probability Distributions; Appendix C: A Note about Bayesian Networks; Glossary; Solutions; Bibliography; Back Cover
