Toward a causal interpretation from observational data: A new bayesian networks method for structural models with latent variables

Information Systems Research

Volumn 21, Issue 2, 2010, Pages 365-391

  Pavlou, Paul A ^b  

^a Eric)   (United States)

^b TEMPLE UNIVERSITY   (United States)

Author keywords

Bayesian graphs; Bayesian networks; Causality; Observational data; Structural equation modeling

Indexed keywords

CONTROL NONLINEARITIES; EQUIVALENCE CLASSES; KNOWLEDGE BASED SYSTEMS; STATISTICAL TESTS;

BAYESIAN; CAUSALITY; DATA ANALYSIS METHODS; FUNDAMENTAL ATTRIBUTES; LINEAR RELATIONSHIPS; METHODOLOGICAL FRAMEWORKS; OBSERVATIONAL DATA; STRUCTURAL EQUATION MODELING;

BAYESIAN NETWORKS;

EID: 77957345661     PISSN: 10477047     EISSN: 15265536     Source Type: Journal    
DOI: 10.1287/isre.1080.0224     Document Type: Article

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