Compara mètodes

	Xarxa bayesiana	Anàlisi Factorial Exploratòria (EFA)
Camp	Bayesià	Estadística
Família	Bayesian methods	Latent structure
Any d'origen	1988	—
Autor original	Judea Pearl	—
Tipus	Probabilistic graphical model	Latent variable / dimension reduction
Font seminal	Pearl, J. (1988). Probabilistic Reasoning in Intelligent Systems: Networks of Plausible Inference. Morgan Kaufmann. ISBN: 978-1558604797	Fabrigar, L. R., Wegener, D. T., MacCallum, R. C. & Strahan, E. J. (1999). Evaluating the use of exploratory factor analysis in psychological research. Psychological Methods, 4(3), 272–299.
Àlies	Bayes network, belief network, probabilistic graphical model, directed graphical model	common factor analysis, açımlayıcı faktör analizi, factor analysis
Relacionats	4	4
Resum	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.	Exploratory factor analysis reduces a large set of observed variables into a smaller number of latent common factors. It is widely used in scale development and psychometrics to uncover the dimensional structure that underlies a set of correlated items, without specifying that structure in advance.