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.
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| Main Author: | |
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| Format: | Electronic eBook |
| Language: | English |
| Published: |
Boca Raton, FL :
CRC Press, Taylor & Francis Group,
[2015]
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| Series: | Texts in statistical science.
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| Subjects: | |
| Online Access: | CONNECT |
Table of 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.
