Results 11 to 20 of about 158,058 (264)
Genetics Selection Evolution, 2021 Background Knowledge about potential functional relationships among traits of interest offers a unique opportunity to understand causal mechanisms and to optimize breeding goals, management practices, and prediction accuracy.
Emhimad A. Abdalla +2 more
doaj +1 more source
Causal assessment in demographic research
Genus, 2020 Causation underlies both research and policy interventions. Causal inference in demography is however far from easy, and few causal claims are probably sustainable in this field. This paper targets the assessment of causality in demographic research.
Guillaume Wunsch, Catherine Gourbin
doaj +1 more source
Interventionist Counterfactuals on Causal Teams [PDF]
Electronic Proceedings in Theoretical Computer Science, 2019 We introduce an extension of team semantics which provides a framework for the logic of manipulationist theories of causation based on structural equation models, such as Woodward's and Pearl's; our causal teams incorporate (partial or total) information
Fausto Barbero, Gabriel Sandu
doaj +1 more source
Causal Consistency of Structural Equation Models [PDF]
CoRR, 2017 Complex systems can be modelled at various levels of detail. Ideally, causal models of the same system should be consistent with one another in the sense that they agree in their predictions of the effects of interventions. We formalise this notion of consistency in the case of Structural Equation Models (SEMs) by introducing exact transformations ...
Paul K. Rubenstein +6 more
openaire +4 more sources
Deep Structural Causal Shape Models
, 2023 Causal reasoning provides a language to ask important interventional and counterfactual questions beyond purely statistical association. In medical imaging, for example, we may want to study the causal effect of genetic, environmental, or lifestyle factors on the normal and pathological variation of anatomical phenotypes.
Rasal, Rajat +3 more
openaire +2 more sources
FROM CAUSAL MODELS TO COUNTERFACTUAL STRUCTURES [PDF]
The Review of Symbolic Logic, 2012 AbstractGalles & Pearl (l998) claimed that “for recursive models, the causal model framework does not add any restrictions to counterfactuals, beyond those imposed by Lewis’s [possible-worlds] framework.” This claim is examined carefully, with the goal of clarifying the exact relationship between causal models and Lewis’s framework.
openaire +3 more sources
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 0002 +5 more
openaire +2 more sources
Does modeling causal relationships improve the accuracy of predicting lactation milk yields?
JDS Communications, 2023 This study compared 3 correlational (best prediction, linear regression, and feed-forward neural networks) and 2 causal models (recursive structural equation model and recurrent neural networks) for estimating lactation milk yields.
Xiao-Lin Wu +7 more
doaj +1 more source
Physical and Metaphysical Counterfactuals: Evaluating Disjunctive Actions
Journal of Causal Inference, 2017 The structural interpretation of counterfactuals as formulated in Balke and Pearl (1994a,b) [1, 2] excludes disjunctive conditionals, such as “had X$X$ been x1 or x2$x_1~\mbox{or}~x_2$,” as well as disjunctive actions such as do(X=x1 or X=x2)$do(X=x_1 ...
Pearl Judea
doaj +1 more source
Beyond Structural Causal Models: Causal Constraints Models
, 2018 Structural Causal Models (SCMs) provide a popular causal modeling framework. In this work, we show that SCMs are not flexible enough to give a complete causal representation of dynamical systems at equilibrium. Instead, we propose a generalization of the notion of an SCM, that we call Causal Constraints Model (CCM), and prove that CCMs do capture the ...
Blom, T., Bongers, S., Mooij, J.M.
openaire +4 more sources