手法を比較

	ベイジアンネットワーク	確認的因子分析（CFA）
分野	ベイズ	統計学
系統	Bayesian methods	Latent structure
提唱年	1988	1969
提唱者	Judea Pearl	Karl Jöreskog
種類	Probabilistic graphical model	Confirmatory latent variable model
原典	Pearl, J. (1988). Probabilistic Reasoning in Intelligent Systems: Networks of Plausible Inference. Morgan Kaufmann. ISBN: 978-1558604797	Brown, T. A. (2015). Confirmatory Factor Analysis for Applied Research (2nd ed.). The Guilford Press. ISBN: 978-1462515363
別名	Bayes network, belief network, probabilistic graphical model, directed graphical model	Doğrulayıcı Faktör Analizi (CFA), confirmatory factor analysis, measurement model
関連	4	4
概要	A Bayesian network is a probabilistic graphical model, introduced by Judea Pearl in 1988, that encodes a set of variables and their conditional dependencies as a directed acyclic graph (DAG). Each node represents a variable; each directed edge encodes a direct probabilistic influence. By combining Bayes' rule with the graph's conditional independence structure, the model supports reasoning under uncertainty — computing the probability of any variable given observed evidence about others.	Confirmatory factor analysis tests whether a researcher-specified factor structure fits the observed data. Formalised by Karl Jöreskog in 1969, it is the measurement-model step within structural equation modelling and is the standard tool for validating the factorial structure of scales and questionnaires before comparing groups or estimating latent relationships.