เปรียบเทียบวิธี

	เครือข่ายเบย์ (Bayesian Network)	การถดถอยแบบเบย์ (Bayesian Regression)	การวิเคราะห์ปัจจัยเชิงยืนยัน (Confirmatory Factor Analysis - CFA)
สาขาวิชา	เบย์	เบย์	สถิติศาสตร์
ตระกูล	Bayesian methods	Bayesian methods	Latent structure
ปีกำเนิด	1988	—	1969
ผู้ริเริ่ม	Judea Pearl	—	Karl Jöreskog
ประเภท	Probabilistic graphical model	Bayesian linear model	Confirmatory latent variable model
แหล่งต้นตำรับ	Pearl, J. (1988). Probabilistic Reasoning in Intelligent Systems: Networks of Plausible Inference. Morgan Kaufmann. ISBN: 978-1558604797	Gelman, A., Carlin, J. B., Stern, H. S., Dunson, D. B., Vehtari, A. & Rubin, D. B. (2013). Bayesian Data Analysis (3rd ed.). CRC Press. ISBN: 978-1439840955	Brown, T. A. (2015). Confirmatory Factor Analysis for Applied Research (2nd ed.). The Guilford Press. ISBN: 978-1462515363
ชื่อเรียกอื่น	Bayes network, belief network, probabilistic graphical model, directed graphical model	bayesian linear regression, probabilistic regression, bayesian regresyon	Doğrulayıcı Faktör Analizi (CFA), confirmatory factor analysis, measurement model
ที่เกี่ยวข้อง	4	2	4
สรุป	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.	Bayesian regression is a probabilistic version of linear regression that treats the model parameters as uncertain quantities. Instead of returning a single best-fit estimate, it combines prior knowledge with the observed data to produce a full posterior probability distribution for each parameter, from which credible intervals and predictions are read off.	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.