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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Power Analysis for Causal Discovery [PDF]
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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Mean square capacity of power constrained fading channels with causal encoders and decoders [PDF]
, 2015 This paper is concerned with the mean square stabilization problem of discrete-time LTI systems over a power constrained fading channel. Different from existing research works, the channel considered in this paper suffers from both fading and additive ...
Liang Xu, Lihua Xie, Nan Xiao
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Re-ranking sequencing variants in the post-GWAS era for accurate causal variant identification. [PDF]
PLoS Genetics, 2013 Next generation sequencing has dramatically increased our ability to localize disease-causing variants by providing base-pair level information at costs increasingly feasible for the large sample sizes required to detect complex-trait associations.
Laura L Faye +4 more
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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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Inference in group sequential designs with causal mechanisms: implications for power and mediation analysis. [PDF]
BMC Med Res MethodolLee KM, Emsley R.
europepmc +2 more sources
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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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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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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