Results 21 to 30 of about 473,721 (315)
Causality, Causal Discovery, and Causal Inference in Structural Engineering
CoRR, 2022 Much of our experiments are designed to uncover the cause(s) and effect(s) behind a data generating mechanism (i.e., phenomenon) we happen to be interested in. Uncovering such relationships allows us to identify the true working of a phenomenon and, most importantly, articulate a model that may enable us to further explore the phenomenon on hand and/or
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Frontiers in Cardiovascular Medicine, 2023 BackgroundNumerous observational studies have suggested that atrial fibrillation (AF) was associated with an increased risk of vascular dementia (VaD). However, the causal genetic relationships between AF and VaD remains unclear.
Ya-fang Gao +5 more
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Causality and Unification: How Causality Unifies Statistical Regularities
Theoria, 2015 Two key ideas of scientific explanation - explanations as causal information and explanation as unification - have frequently been set into mutual opposition.
Gerhard Schurz
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Frontiers in Public Health, 2023 This paper estimates the effect of antibiotic usage in humans and food-producing animals on the prevalence of resistance in zoonotic bacteria in both humans and animals. Using comprehensive longitudinal data from annual surveillance reports on resistance
Sakib Rahman, Aidan Hollis
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Causal KL: Evaluating Causal Discovery
CoRR, 2021 26 ...
Rodney T. O'Donnell +2 more
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St Andrews Encyclopaedia of Theology, 2023 Causality is a central concept in philosophy and theology and also a basic aspect of human thought and speech. Causal words such as ‘making’, ‘doing’, ‘producing’, and so on, are in constant use.
Michael J. Dodds O.P.
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K-Causality Coincides with Stable Causality [PDF]
Communications in Mathematical Physics, 2009 It is proven that K-causality coincides with stable causality, and that in a K-causal spacetime the relation K^+ coincides with the Seifert's relation. As a consequence the causal relation "the spacetime is strongly causal and the closure of the causal relation is transitive" stays between stable causality and causal continuity.
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Causal Inference with Deep Causal Graphs
CoRR, 2020 Supplementary material can be found in https://github.com/aparafita/dcg ...
Álvaro Parafita, Jordi Vitrià
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Causal-learn: Causal Discovery in Python
J. Mach. Learn. Res., 2023 Causal discovery aims at revealing causal relations from observational data, which is a fundamental task in science and engineering. We describe $\textit{causal-learn}$, an open-source Python library for causal discovery. This library focuses on bringing a comprehensive collection of causal discovery methods to both practitioners and researchers.
Yujia Zheng 0001 +8 more
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Distinguishing causality principles [PDF]
, 2012 We distinguish two sub-types of each of the two causality principles formulated in connection with the Common Cause Principle in Henson (2005) and raise and investigate the problem of logical relations among the resulting four causality principles. Based
Rédei, Miklós, San Pedro, Iñaki
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