Bayesian networks with examples in R

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 simpl...

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Detalles Bibliográficos
Otros Autores: Scutari, Marco, author (author), Denis, Jean-Baptiste, author
Formato: Libro electrónico
Idioma:Inglés
Publicado: Boca Raton, FL : Chapman and Hall/CRC, an imprint of Taylor and Francis 2014.
Edición:First edition
Colección:Texts in statistical science.
Materias:
Ver en Biblioteca Universitat Ramon Llull:https://discovery.url.edu/permalink/34CSUC_URL/1im36ta/alma991009644277806719
Descripción
Sumario: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. The authors also distinguish the probabilistic models from their estimation with data sets.
Notas:Description based upon print version of record.
Descripción Física:1 online resource (239 p.)
Bibliografía:Includes bibliographical references.
ISBN:9780429196249
9781482225594