Results 21 to 30 of about 10,579,206 (300)
Inferring causal phenotype networks using structural equation models
Genetics Selection Evolution, 2011 Phenotypic traits may exert causal effects between them. For example, on the one hand, high yield in dairy cows may increase the liability to certain diseases and, on the other hand, the incidence of a disease may affect yield negatively.
de los Campos Gustavo +5 more
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Three methods that advance tests of complex psychological theory using structural equation models.
, 2023 Theories of psychological constructs like personality, pathology, or cognition, give rise to models that implicitly or explicitly impose a causal structure on mental processes.
Michel Guillaume Nivard +2 more
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Correlational data, causal hypotheses, and validity [PDF]
, 2010 A shared problem across the sciences is to make sense of correlational data coming from observations and/or from experiments. Arguably, this means establishing when correlations are causal and when they are not. This is an old problem in philosophy. This
Russo, Federica, Federica Russo
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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
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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
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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
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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.
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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
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Structure Mapping for Transferability of Causal Models
CoRR, 2020 Presented at the Inductive Biases, Invariances and Generalization in Reinforcement Learning Workshop, ICML ...
Purva Pruthi +3 more
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From Deterministic ODEs to Dynamic Structural Causal Models [PDF]
, 2018 Structural Causal Models are widely used in causal modelling, but how they relate to other modelling tools is poorly understood. In this paper we provide a novel perspective on the relationship between Ordinary Differential Equations and Structural ...
Rubenstein, P.K. +3 more
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