Bayesian Networks
eBook - PDF

Bayesian Networks

With Examples in R

  1. 241 pages
  2. English
  3. PDF
  4. Available on iOS & Android
eBook - PDF

Bayesian Networks

With Examples in R

About this book

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. T

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Yes, you can access Bayesian Networks by Marco Scutari,Jean-Baptiste Denis in PDF and/or ePUB format, as well as other popular books in Informatik & Informatik Allgemein. We have over one million books available in our catalogue for you to explore.

Information

Table of contents

  1. Front Cover
  2. Contents
  3. Preface
  4. Chapter 1: The Discrete Case: Multinomial Bayesian Networks
  5. Chapter 2: The Continuous Case: Gaussian Bayesian Networks
  6. Chapter 3: More Complex Cases: Hybrid Bayesian Networks
  7. Chapter 4: Theory and Algorithms for Bayesian Networks
  8. Chapter 5: Software for Bayesian Networks
  9. Chapter 6: Real-World Applications of Bayesian Networks
  10. Appendix A: Graph Theory
  11. Appendix B: Probability Distributions
  12. Appendix C: A Note about Bayesian Networks
  13. Glossary
  14. Solutions
  15. Bibliography
  16. Back Cover