Results 31 to 40 of about 353,766 (277)
Semantic representation of neural circuit knowledge in Caenorhabditis elegans
Brain Informatics, 2023 In modern biology, new knowledge is generated quickly, making it challenging for researchers to efficiently acquire and synthesise new information from the large volume of primary publications.
Sharan J. Prakash +3 more
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The MVGC multivariate Granger causality toolbox: a new approach to Granger-causal inference [PDF]
, 2014 Background: Wiener-Granger causality (“G-causality”) is a statistical notion of causality applicable to time series data, whereby cause precedes, and helps predict, effect.
Aertsen +92 more
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Graphical modelling of multivariate time series [PDF]
, 2011 We introduce graphical time series models for the analysis of dynamic relationships among variables in multivariate time series. The modelling approach is based on the notion of strong Granger causality and can be applied to time series with non-linear ...
Eichler, Michael
core +4 more sources
Causal Research on Soil Temperature and Moisture Content at Different Depths
IEEE Access, 2021 The soil system is complex and dynamic, making it difficult to understand using traditional statistical approaches. In this paper, we analyze the causal relationship of soil temperature and moisture content at different depths in summer and winter based ...
Zhihao Cao +4 more
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Causal structure in the presence of sectorial constraints, with application to the quantum switch [PDF]
Quantum, 2023 Existing work on quantum causal structure assumes that one can perform arbitrary operations on the systems of interest. But this condition is often not met.
Nick Ormrod +2 more
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New Journal of Physics, 2016 Causal modelling provides a powerful set of tools for identifying causal structure from observed correlations. It is well known that such techniques fail for quantum systems, unless one introduces ‘spooky’ hidden mechanisms.
Fabio Costa, Sally Shrapnel
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Dynamic causal modelling of phase-amplitude interactions
NeuroImage, 2020 Models of coupled phase oscillators are used to describe a wide variety of phenomena in neuroimaging. These models typically rest on the premise that oscillator dynamics do not evolve beyond their respective limit cycles, and hence that interactions can ...
Erik D. Fagerholm +4 more
doaj +1 more source
A practical method to control spatiotemporal confounding in environmental impact studies
MethodsX, 2018 Separating natural spatiotemporal variation from the impact of human activities has long been a challenge in environmental impact studies. To overcome this problem, a causal modelling method based on spatiotemporal data, integrated with existing ...
Rezvan Hatami
doaj +1 more source
Causal Support: Modeling Causal Inferences with Visualizations [PDF]
IEEE Transactions on Visualization and Computer Graphics, 2022 Analysts often make visual causal inferences about possible data-generating models. However, visual analytics (VA) software tends to leave these models implicit in the mind of the analyst, which casts doubt on the statistical validity of informal visual "insights".
Kale, Alex, Wu, Yifan, Hullman, Jessica
openaire +3 more sources
Charge and the topology of spacetime [PDF]
, 1999 A new class of electrically charged wormholes is described in which the outer 2-sphere is not spanned by a compact, co-orientable hypersurface, These wormholes can therefore display net electric charge from the source-free Maxwell equations. This extends
Diemer, Tammo, Hadley, Mark J.
core +4 more sources