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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.
| Clasificación: | Libro Electrónico |
|---|---|
| Autor principal: | |
| Formato: | Electrónico eBook |
| Idioma: | Inglés |
| Publicado: |
Boca Raton, FL :
CRC Press, Taylor & Francis Group,
[2015]
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| Colección: | Texts in statistical science.
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| Temas: | |
| Acceso en línea: | Texto completo (Requiere registro previo con correo institucional) |
MARC
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| 100 | 1 | |a Scutari, Marco, |e author. | |
| 245 | 1 | 0 | |a Bayesian networks : |b with examples in R / |c Marco Scutari, Jean-Baptiste Denis. |
| 264 | 1 | |a Boca Raton, FL : |b CRC Press, Taylor & Francis Group, |c [2015] | |
| 300 | |a 1 online resource (xv, 225 pages .) | ||
| 336 | |a text |b txt |2 rdacontent | ||
| 337 | |a computer |b c |2 rdamedia | ||
| 338 | |a online resource |b cr |2 rdacarrier | ||
| 490 | 1 | |a Chapman & Hall/CRC texts in statistical science series | |
| 504 | |a Includes bibliographical references. | ||
| 588 | 0 | |a Print version record. | |
| 505 | 0 | |a 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. | |
| 520 | |a 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. | ||
| 590 | |a O'Reilly |b O'Reilly Online Learning: Academic/Public Library Edition | ||
| 650 | 0 | |a Bayesian statistical decision theory. | |
| 650 | 0 | |a Bayesian statistical decision theory |x Data processing. | |
| 650 | 0 | |a R (Computer program language) | |
| 650 | 6 | |a Théorie de la décision bayésienne. | |
| 650 | 6 | |a Théorie de la décision bayésienne |x Informatique. | |
| 650 | 6 | |a R (Langage de programmation) | |
| 650 | 7 | |a MATHEMATICS |x Applied. |2 bisacsh | |
| 650 | 7 | |a MATHEMATICS |x Probability & Statistics |x General. |2 bisacsh | |
| 650 | 7 | |a Bayesian statistical decision theory. |2 fast |0 (OCoLC)fst00829019 | |
| 650 | 7 | |a Bayesian statistical decision theory |x Data processing. |2 fast |0 (OCoLC)fst00829020 | |
| 650 | 7 | |a R (Computer program language) |2 fast |0 (OCoLC)fst01086207 | |
| 776 | 0 | 8 | |i Print version: |a Scutari, Marco. |t Bayesian networks. |z 9781482225587 |z 1482225581 |
| 830 | 0 | |a Texts in statistical science. | |
| 856 | 4 | 0 | |u https://learning.oreilly.com/library/view/~/9781482225587/?ar |z Texto completo (Requiere registro previo con correo institucional) |
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