Bayesian Networks: With Examples in R (Chapman & Hall/CRC Texts in Statistical Science) - Tapa dura

Libro 116 de 139: Chapman & Hall/CRC Texts in Statistical Science

Scutari, Marco; Denis, Jean-Baptiste

 
9780367366513: Bayesian Networks: With Examples in R (Chapman & Hall/CRC Texts in Statistical Science)
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ISBN 10: 0367366517 ISBN 13: 9780367366513
Editorial: Chapman and Hall/CRC, 2021

Sinopsis

The book introduces Bayesian networks using simple yet meaningful examples. Discrete Bayesian networks are described first followed by Gaussian Bayesian networks and  mixed networks. All steps in learning are illustrated with R code.

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Acerca del autor

Marco Scutari is a Senior Lecturer at Istituto Dalle Molle di Studisull'Intelligenza Artificiale (IDSIA), Switzerland. He has held positions in Statistics, Statistical Genetics and Machine Learning in the UK and Switzerland since completing his Ph.D. in Statistics in 2011. His research focuses on the theory of Bayesian networks and their applications to biological and clinical data, as well as statistical computing and software engineering.

Jean-Baptiste Denis was formerly appointed as a statistician and modeller at the "Mathematics and Applied Informatics from Genome to Environment" unit of the French National Research Institute for Agriculture, Food and Environment. His main research interests were the modelling of two-way tables and Bayesian approaches, especially applied to genotype-by-environment interactions and microbiological food safety.

"Sobre este título" puede pertenecer a otra edición de este libro.

Editorial
Chapman and Hall/CRC
Año de publicación
2021
Idioma
Inglés
ISBN 10 
0367366517
ISBN 13 
9780367366513
Encuadernación
Tapa dura
Número de edición
2
Número de páginas
274
Contacto del fabricante
no disponible
Persona responsable
no disponible