Bayesian Networks in R
type: Item
instance of: scholarly article
instance of: book
title: Bayesian Networks in R
zbMATH Open document ID: 1272.62005
DOI: 10.1007/978-1-4614-6446-4
author: R. Nagarajan
author: Marco Scutari
author: Sophie Lèbre
publication date: 2013-04-02T00:00:00Z
Mathematics Subject Classification ID: 62-02
Mathematics Subject Classification ID: 62F15
Mathematics Subject Classification ID: 68T35
Mathematics Subject Classification ID: 62-04
Mathematics Subject Classification ID: 62P10
Mathematics Subject Classification ID: 92-02
Mathematics Subject Classification ID: 92C42
Mathematics Subject Classification ID: 05C90
zbMATH DE Number: 6149286
zbMATH Keywords: Bayesian networks
zbMATH Keywords: static bayesian networks
zbMATH Keywords: dynamic Bayesian networks
zbMATH Keywords: learning algorithms
zbMATH Keywords: parameter learning
zbMATH Keywords: inference algorithms
zbMATH Keywords: time series
zbMATH Keywords: multivariate time series
zbMATH Keywords: parallel computing
zbMATH Keywords: \texttt{R}
describes a project that uses: lars
describes a project that uses: Rgraphviz
describes a project that uses: rsprng
describes a project that uses: EDISON
describes a project that uses: graph
describes a project that uses: gRain
describes a project that uses: G1DBN
describes a project that uses: snow
describes a project that uses: rpvm
describes a project that uses: R
describes a project that uses: vars
describes a project that uses: Rmpi
describes a project that uses: SIMoNe
describes a project that uses: penalized
describes a project that uses: bnlearn
MaRDI profile type: Publication
full work available at URL: https://doi.org/10.1007/978-1-4614-6446-4
OpenAlex ID: W2484145743
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.
description: scientific article; zbMATH DE number 6149286