%0 Book Section %1 citeulike:6948094 %A Ben-Gal, Irad %B Encyclopedia of statistics in quality and reliability %D 2007 %E Ruggeri, F. %E Kenett, R. %E Faltin, F. W. %I John Wiley and Sons %K bayesian networks thema:BN_lyme %T Bayesian Networks %X Bayesian networks are probabilistic models based on direct acyclic graphs. These models enable a direct representation of causal relations between variables. Their structure is ideal for combining prior knowledge, which often comes in causal form, and observed data. This article gives a short description of the concepts of this important class of models that have become extremely popular in recent years.

@inbook{citeulike:6948094, abstract = {{Bayesian networks are probabilistic models based on direct acyclic graphs. These models enable a direct representation of causal relations between variables. Their structure is ideal for combining prior knowledge, which often comes in causal form, and observed data. This article gives a short description of the concepts of this important class of models that have become extremely popular in recent years.}}, added-at = {2013-06-11T23:00:11.000+0200}, author = {Ben-Gal, Irad}, biburl = {https://www.bibsonomy.org/bibtex/25ff721712a9fa4cedbc1b25ac3ccd475/p.fabian}, booktitle = {Encyclopedia of statistics in quality and reliability}, citeulike-article-id = {6948094}, editor = {Ruggeri, F. and Kenett, R. and Faltin, F. W.}, interhash = {77bc70a37acb345534e3f61e97f9840d}, intrahash = {5ff721712a9fa4cedbc1b25ac3ccd475}, keywords = {bayesian networks thema:BN_lyme}, posted-at = {2010-04-04 01:57:31}, priority = {3}, publisher = {John Wiley and Sons}, timestamp = {2014-02-27T11:13:22.000+0100}, title = {{Bayesian Networks}}, year = 2007 }