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

Scutari, Marco; Denis, Jean-Baptiste

Hardcover

ISBN 10: 0367366517 ISBN 13: 9780367366513

Verlag: Chapman and Hall/CRC, 2021

Inhaltsangabe

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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Über die Autorin bzw. den 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.

Details zur Ausgabe

• Verlag: Chapman and Hall/CRC
• Erscheinungsdatum: 2021
• Sprache: Englisch
• ISBN 10: 0367366517
• ISBN 13: 9780367366513
• Einband: Tapa dura
• Auflage: 2
• Anzahl der Seiten: 274
• Kontakt zum Hersteller: Nicht verfügbar
• Verantwortliche Person: Nicht verfügbar