Results 261 to 270 of about 10,579,206 (300)

Axiomatic effect propagation in structural causal models.

J. Mach. Learn. Res.
Singal, Raghav, Michailidis, George
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Quantifying Causal Path-Specific Importance in Structural Causal Model

Computation, 2023
Path-specific effect analysis is a powerful tool in causal inference. This paper provides a definition of causal counterfactual path-specific importance score for the structural causal model (SCM). Different from existing path-specific effect definitions, which focus on the population level, the score defined in this paper can quantify the impact of a ...
Xiaoxiao Wang, Zhaodan Kong
exaly   +4 more sources

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Structural Causal Models in Strategy: Opportunities and Boundaries

Academy of Management Proceedings, 2023
Causality is at the center of all scientific endeavors. From prior research, we know that just like scientists, business leaders, too, make causal assumptions about their environment to guide strategic choices. Causal machine learning has consequently been subject to growing attention in strategic management research and practice.
Schmitt, Carla, Kaminski, Jermain Christopher, Hünermund, Paul   +2 more
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Structural Modelling, Exogeneity, and Causality

2009
This paper deals with causal analysis in the social sciences. We first present a conceptual framework according to which causal analysis is based on a rationale of variation and invariance, and not only on regularity. We then develop a formal framework for causal analysis by means of structural modelling.
Mouchart M, RUSSO, Federica, Wunsch G.
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Causal Structure and Hierarchies of Models

SSRN Electronic Journal, 2011
Economics prefers complete explanations: general over partial equilibrium, microfoundational over aggregate. Similarly, probabilistic accounts of causation frequently prefer greater detail to less as in typical resolutions of Simpson's paradox. Strategies of causal refinement equally aim to distinguish direct from indirect causes.
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On the causal interpretation of heritability from a structural causal modeling perspective

Studies in History and Philosophy of Science, 2022
Heritability estimated using the analysis of variance (ANOVA) for ascribing causal responsibility to genes for a phenotype has been criticized widely. First, there are problems associated with articulating the exact causal meaning of heritability in the standard model.
Qiaoying Lu, Pierrick Bourrat
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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.
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