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On the representation of continuous causal relationships
1991Most present research on causal relationships has dealt with discrete causal relationships. However, continuous causal relationships are frequently encountered in many applications, particularly in equipment/ instrument diagnostic applications. This paper demonstrates that causation probabilities for continuous causal relationships can be derived based
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The Causality of Supply Relationships [PDF]
, 2001 This study examines the 'logic' or underlying causality of supply relationships. It develops and tests hypotheses, in a LISREL model, on detailed data for 553, 450 and 226 supply relationships in the US, Japanese and European automobile industries.
de Jong, G., Nooteboom, B.
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Progres en urologie : journal de l'Association francaise d'urologie et de la Societe francaise d'urologie, 2000
Only the controlled trial method, clinical equivalent to the experimental method, with its successive phases and randomization, is able to confirm a real causal relationship and quantify the risk of error (alpha). However, the study must have sufficient power and randomization must not have resulted in an unbalanced distribution of various parameters ...
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Only the controlled trial method, clinical equivalent to the experimental method, with its successive phases and randomization, is able to confirm a real causal relationship and quantify the risk of error (alpha). However, the study must have sufficient power and randomization must not have resulted in an unbalanced distribution of various parameters ...
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Causal relationships and replicability
Journal of Econometrics, 1988This paper deals with the formalization of causality on the base of statistical and econometric methodology. Because of its predictivistic nature, the subjectivistic Bayesian approach points out to be ideally suited for formalizing causal relationships.
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2019
The investigation of causal relationships is of central concern to science. The proof of causality requires a number of typical features and conditions. There are different types of causal relationships, in particular direct, indirect, and moderated causal relationships.
Martin Eisend, Alfred Kuss
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The investigation of causal relationships is of central concern to science. The proof of causality requires a number of typical features and conditions. There are different types of causal relationships, in particular direct, indirect, and moderated causal relationships.
Martin Eisend, Alfred Kuss
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Understanding a story with causal relationships
1994In our previous work (e.g., [4], [5], [6], [7]), we have formalized the story understanding process based on scripts and plans with stepwise default theories. While those theories offer final results for understanding a specific story, they do not provide the history of changes of partial states of any objects the story may concern.
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Bayes and Causal Relationships
2018The current search for causal relationships with Bayesian structural equation modelings will be addressed in this chapter as an example where Bayesian methodologies successfully helped fostering the deepest enigma of mankind, the proof of causality.
Ton J. Cleophas, Aeilko H. Zwinderman
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Event Causal Relationship Retrieval
IEEE/WIC/ACM International Conference on Web Intelligence, 2021openaire +1 more source
D’ya Like DAGs? A Survey on Structure Learning and Causal Discovery
ACM Computing Surveys, 2023Necati Cihan CAMGÖZ +2 more
exaly