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Adiabatic dynamic causal modelling [PDF]
NeuroImage, 2021 This technical note introduces adiabatic dynamic causal modelling, a method for inferring slow changes in biophysical parameters that control fluctuations of fast neuronal states.
Amirhossein Jafarian +4 more
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Dynamic causal modelling of COVID-19 and its mitigations [PDF]
Scientific Reports, 2022 This technical report describes the dynamic causal modelling of mitigated epidemiological outcomes during the COVID-9 coronavirus outbreak in 2020. Dynamic causal modelling is a form of complex system modelling, which uses ‘real world’ timeseries to ...
Karl J. Friston +2 more
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Dynamic causal modelling of immune heterogeneity [PDF]
Scientific Reports, 2021 An interesting inference drawn by some COVID-19 epidemiological models is that there exists a proportion of the population who are not susceptible to infection—even at the start of the current pandemic.
Thomas Parr +6 more
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Testing the expensive-tissue hypothesis’ prediction of inter-tissue competition using causal modelling with latent variables [PDF]
Evolutionary Human SciencesThe expensive-tissue hypothesis (ETH) posited a brain–gut trade-off to explain how humans evolved large, costly brains. Versions of the ETH interrogating gut or other body tissues have been tested in non-human animals, but not humans.
Meghan Shirley Bezerra +7 more
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Annals of GIS, 2023 Causal inference is a rapidly growing field of statistics that applies logical reasoning to statistical inference to estimate causal relationships. Spatial data poses several problems in causal inference – namely, spatial confounding and interference ...
Tyler D. Hoffman, Peter Kedron
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Disentangling causal webs in the brain using functional magnetic resonance imaging: A review of current approaches [PDF]
Network Neuroscience, 2019 In the past two decades, functional Magnetic Resonance Imaging (fMRI) has been used to relate neuronal network activity to cognitive processing and behavior.
Natalia Z. Bielczyk +5 more
doaj +5 more sources
Causal modelling of climate-fish-fisheries: confronting models with data [PDF]
PeerJUnderstanding the interplay of environmental and anthropogenic drivers is essential to interpret past changes and anticipate future dynamics of marine fish stocks.
Benjamin Planque +2 more
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Structure Learning in Coupled Dynamical Systems and Dynamic Causal Modelling [PDF]
Philos Trans A Math Phys Eng Sci, 2019 Identifying a coupled dynamical system out of many plausible candidates, each of which could serve as the underlying generator of some observed measurements, is a profoundly ill posed problem that commonly arises when modelling real world phenomena.
Friston, Karl +3 more
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Model selection approach suggests causal association between 25-hydroxyvitamin D and colorectal cancer. [PDF]
PLoS ONE, 2013 IntroductionVitamin D deficiency has been associated with increased risk of colorectal cancer (CRC), but causal relationship has not yet been confirmed.
Lina Zgaga +7 more
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Journal of Public TransportationBehaviour modelling has been widely explored using both statistical and machine learning techniques, primarily relying on analyzing correlations to understand passenger responses under different conditions and scenarios.
Yuanyuan Wu +4 more
doaj +3 more sources