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Neural Correlates of Causal Power Judgments [PDF]
Frontiers in Human Neuroscience, 2014 Causal inference is a fundamental component of cognition and perception. Probabilistic theories of causal judgment (most notably causal Bayes networks) derive causal judgments using metrics that integrate contingency information.
Denise Dellarosa Cummins
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Kant on causal laws and powers [PDF]
Studies in History and Philosophy of Science Part A, 2014 The aim of the paper is threefold. Its first aim is to defend Eric Watkins's claim that for Kant, a cause is not an event but a causal power: a power that is borne by a substance, and that, when active, brings about its effect, i.e. a change of the states of another substance, by generating a continuous flow of intermediate states of that substance ...
exaly +4 more sources
Power Analysis for Causal Discovery
International Journal of Data Science and Analytics, 2022 Abstract Causal discovery algorithms have the potential to impact many fields of science. However, substantial foundational work on the statistical properties of causal discovery algorithms is still needed. This paper presents what is to our knowledge the first method for conducting power analysis for causal discovery algorithms.
Erich Kummerfeld +2 more
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Causality and the power spectrum [PDF]
Physical Review D, 1996 uuencoded postscript file, 12 pages, 1 figure.
Robinson, James, Wandelt, Benjamin D.
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Causal associations between erectile dysfunction and high blood pressure, negative psychology: a Mendelian randomization study [PDF]
Journal of Men's Health, 2023 Erectile dysfunction (ED) has been closely associated with both high blood pressure (HBP) and psychological traits, but the causal relationship between them remains unclear. Herein, we aimed to identify the causal risk factors for ED.
Zhou Sun +8 more
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Précis of Naturalizing Critical Realist Social Ontology
Journal of Social Ontology, 2015 This paper introduces and contextualizes my book Naturalizing Critical Realist Social Ontology (London: Routledge, 2013).
Kaidesoja Tuukka
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Comparison of single-marker and multi-marker tests in rare variant association studies of quantitative traits. [PDF]
PLoS ONE, 2017 In genetic association studies of rare variants, low statistical power and potential violations of established estimator properties are among the main challenges of association tests.
Stefan Konigorski +2 more
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Comment on Naturalizing Critical Realist Social Ontology
Journal of Social Ontology, 2015 This comment discusses Kaidesoja (2013) and raises the issue whether his analysis justifies stronger conclusions than he presents in the book. My comments focus on four issues.
Petri Ylikoski
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Medium- and Long-Term Load Forecasting for Power Plants Based on Causal Inference and Informer
Applied Sciences, 2023 Accurate forecasting of power plant loads is critical for maintaining a stable power supply, minimizing grid fluctuations, and enhancing power market trading mechanisms.
Kaiyu Yang, Fanhuai Shi
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Assessing methods for assigning SNPs to genes in gene-based tests of association using common variants. [PDF]
PLoS ONE, 2013 Gene-based tests of association are frequently applied to common SNPs (MAF>5%) as an alternative to single-marker tests. In this analysis we conduct a variety of simulation studies applied to five popular gene-based tests investigating general trends ...
Ashley Petersen +3 more
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