Bayesian Networks in R

DOI10.1007/978-1-4614-6446-4zbMath1272.62005OpenAlexW2484145743MaRDI QIDQ4912929

Sophie Lèbre, Radhakrishnan Nagarajan, Marco Scutari

Publication date: 2 April 2013

Full work available at URL: https://doi.org/10.1007/978-1-4614-6446-4

Description: The book "Bayesian Networks in R with Applications in Systems Biology" introduces the reader to the essential concepts in Bayesian network modeling and inference. It comes with various examples in the open-source statistical environment R.

zbMATH Keywords

Bayesian networks learning algorithms time series parallel computing dynamic Bayesian networks multivariate time series \texttt{R}parameter learning inference algorithms static bayesian networks

Mathematics Subject Classification ID

Software, source code, etc. for problems pertaining to statistics (62-04) Applications of statistics to biology and medical sciences; meta analysis (62P10) Bayesian inference (62F15) Applications of graph theory (05C90) Research exposition (monographs, survey articles) pertaining to statistics (62-02) Theory of languages and software systems (knowledge-based systems, expert systems, etc.) for artificial intelligence (68T35) Research exposition (monographs, survey articles) pertaining to biology (92-02) Systems biology, networks (92C42)

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Uses Software

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