Bayesian networks : with examples in R /

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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.

Detalles Bibliográficos
Clasificación:Libro Electrónico
Autor principal: Scutari, Marco (Autor)
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Boca Raton, FL : CRC Press, Taylor & Francis Group, [2015]
Colección:Texts in statistical science.
Temas:
Bayesian statistical decision theory.
Bayesian statistical decision theory > Data processing.
R (Computer program language)
Théorie de la décision bayésienne.
Théorie de la décision bayésienne > Informatique.
R (Langage de programmation)
MATHEMATICS > Applied.
MATHEMATICS > Probability & Statistics > General.
Acceso en línea:Texto completo (Requiere registro previo con correo institucional)
Tabla de Contenidos:
  • 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.

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