Causal Graphical Models with Latent Variables: Learning and Inference

Stijn Meganck; Philippe Leray; Bernard Manderick

doi:10.1007/978-3-540-75256-1_4

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Causal Graphical Models with Latent Variables: Learning and Inference

Stijn Meganck Philippe Leray Bernard Manderick

Year: 2007 Lecture notes in computer science Pages: 5-16 Publisher: Springer Science+Business Media

DOI: 10.1007/978-3-540-75256-1_4

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Keywords:

Graphical model Computer science Inference Latent variable Rotation formalisms in three dimensions Causal model Machine learning Artificial intelligence Causal inference Representation (politics) Causal structure Bayesian network Markov process Probabilistic logic Theoretical computer science Mathematics Econometrics

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Bayesian Modeling and Causal Inference

Physical Sciences → Computer Science → Artificial Intelligence

AI-based Problem Solving and Planning

Physical Sciences → Computer Science → Artificial Intelligence

Cognitive Science and Mapping

Physical Sciences → Computer Science → Artificial Intelligence

Causal Graphical Models with Latent Variables: Learning and Inference

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