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Causal models and the acquisition of category structure.

Journal of Experimental Psychology: General, 1995
This article proposes that learning of categories based on cause-effect relations is guided by causal models. In addition to incorporating domain-specific knowledge, causal models can be based on knowledge of such general structural properties as the direction of the causal arrow and the variability of causal variables.
Waldmann, M., Holyoak, K., Fratianne, A.
openaire   +2 more sources

Causal Interpretation in Structural Models

2004
AbstractThis chapter applies the ideas about intervention and invariance developed in previous chapters to so-called causal models of the sort used in the social, behavioral, and biomedical sciences. Both regression models and structural equation models are explored and a modularity condition is defended in connection with the latter.
openaire   +1 more source

Graphs, Causality, and Structural Equation Models

Sociological Methods & Research, 1998
Structural equation models (SEMs) have dominated causal analysis in the social and behavioral sciences since the 1960s. Currently, many SEM practitioners are having difficulty articulating the causal content of SEM and are seeking foundational answers.
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Forms and causal structure of econometric models

2010
This is the first of a set of short tematic books which are intended to offer the reader a simple - although rigorous- overview of selected topics in classical as well as time- series econometrics.
Faliva, Mario, Zoia, Maria
openaire   +2 more sources

Causal Modeling via Structural Equation Systems

1988
Causal modeling is an informal name attached to a class of methods of multivariate analysis concerned with testing structural theories of a phenomenon. In most cases, these structural theories are intended to represent “causal” processes that give rise to observations on multivariate variables.
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Marginal Structural Models to Estimate the Joint Causal Effect of Nonrandomized Treatments

Journal of the American Statistical Association, 2001
James M Robins
exaly  

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