Results 21 to 30 of about 455,494 (313)

Connectivity Analysis for Multivariate Time Series: Correlation vs. Causality

open access: yesEntropy, 2021
The study of the interdependence relationships of the variables of an examined system is of great importance and remains a challenging task. There are two distinct cases of interdependence.
Angeliki Papana
doaj   +1 more source

The Eternal Relations of Origin, Causality, and Implications for Models of God

open access: yesReligions, 2023
The classical doctrine of the eternal relations or origin (ERO) claims that these relations are (1) atemporal and (2) causal. In this paper, I investigate the casual nature of the ERO, highlighting that the patristic and medieval Christian thinkers who ...
Andrew Hollingsworth
doaj   +1 more source

Gender roles and implicit causality [PDF]

open access: yes, 2008
Numerous studies investigated the phenomenon of implicit verb causality (cf. Rudolph & Försterling, 1997). This research revealed the robust finding that different types of interpersonal verbs lead to systematic causal attributions to one of the ...
Tumasjan, Andranik   +3 more
core   +1 more source

From Causal Pairs to Causal Graphs

open access: yes2022 21st IEEE International Conference on Machine Learning and Applications (ICMLA), 2022
Causal structure learning from observational data remains a non-trivial task due to various factors such as finite sampling, unobserved confounding factors, and measurement errors. Constraint-based and score-based methods tend to suffer from high computational complexity due to the combinatorial nature of estimating the directed acyclic graph (DAG ...
Rezaur Rashid   +2 more
openaire   +2 more sources

Short and long run causality measures: theory and inference [PDF]

open access: yes, 2008
The concept of causality introduced by Wiener (1956) and Granger (1969) is defined in terms of predictability one period ahead. This concept can be generalized by considering causality at a given horizon h, and causality up to any given horizon h ...
Taamouti, Abderrahim   +3 more
core   +1 more source

Agentic Recommender System Konzept für nachhaltiges Wissensmanagement

open access: yesTH Wildau Engineering and Natural Sciences Proceedings
Unternehmen stehen vor erheblichen Herausforderungen beim Erhalt, bei der Nutzung und Weitergabe zentralen Wissens. Demografischer Wandel, zunehmender Mitarbeiterfluktuation und steigende organisatorische Komplexit ¨at erschweren klassische ...
Simon Wilbers   +3 more
doaj   +1 more source

The COVID-19 Vaccine Safety Research Center: a cornerstone for strengthening safety evidence for COVID-19 vaccination in the Republic of Korea [PDF]

open access: yesOsong Public Health and Research Perspectives
The COVID-19 Vaccine Safety Research Committee (CoVaSC) was established in November 2021 to address the growing need for independent, in-depth scientific evidence on adverse events (AEs) following coronavirus disease 2019 (COVID-19) vaccination.
Na-Young Jeong   +14 more
doaj   +1 more source

Causality and micro-causality in curved spacetime [PDF]

open access: yesPhysics Letters B, 2007
We consider how causality and micro-causality are realised in QED in curved spacetime. The photon propagator is found to exhibit novel non-analytic behaviour due to vacuum polarization, which invalidates the Kramers-Kronig dispersion relation and calls into question the validity of micro-causality in curved spacetime. This non-analyticity is ultimately
Timothy Hollowood, Graham Shore
openaire   +4 more sources

The attribution of causality, perception of responsibility, and preferred generic means of life distribution [PDF]

open access: yesPanoeconomicus
The attribution of causality, a central concept in human cognition theory, is the principal instrument for investigating functional links between events and phenomena. Although the links between causality and moral responsibility are commonly recognized,
Okhrimenko Iana
doaj   +1 more source

Causal Effect Identification from Multiple Incomplete Data Sources: A General Search-Based Approach

open access: yesJournal of Statistical Software, 2021
Causal effect identification considers whether an interventional probability distribution can be uniquely determined without parametric assumptions from measured source distributions and structural knowledge on the generating system.
Santtu Tikka   +2 more
doaj   +1 more source

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