Causal Modeling
Dynamic causal modeling of load-dependent modulation of effective connectivity within the verbal working memory network
... Neuroimaging studies have consistently shown that working memory (WM) tasks engage a distributed neural network that primarily includes the dorsolateral prefrontal (DLPFC), the parietal (PAR) and the anterior cingulate ...
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Math Learning Environment with Game-Like Elements and Causal Modeling of User Data
... the causal assumptions of the inference ...the causal model from Figure 19 has not only confirmed some of our prior assumptions ...make causal claims only with controlled manipulations and all other ...
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Neural masses and fields in dynamic causal modeling
... Dynamic causal modeling (DCM) provides a framework for the analysis of effective connectivity among neuronal subpopulations that subtend invasive (electrocorticograms and local field potentials) and ...
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Hiddleston’s Causal Modeling Semantics and the Distinction between Forward-Tracking and Backtracking Counterfactuals
... a causal modeling semantics, which takes this phenomenon to be generated by two kinds of causal ...different causal modeling semantics, which he claims to be able to explain away the ...
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Causal Modeling Under Complex Dependency in Clustered and Longitudinal Observations
... of causal models, SNMMs and MSMs, to clus- tered observations in the presence of time-varying ...the causal model contains interference and treatments in units within the same cluster are highly correlated, ...
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A Novel Approach Based on DEMATEL Method for Causal Modeling an Effective Factors in Falling from Height Accidents in Construction Projects
... In this research, the surveyed population was the workers of five construction projects of a gas refinery in south of Iran from 2011 to 2015. Using the Integrated Management System (IMS) information, factors and ...
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EEMCS final report for the causal modeling for air transport safety (CATS) project
... When rank correlations are specified for discrete variables in stochastic modeling, the rank correlation realized is the rank correlation between two uniform variables. A discrete variable is realized by F ‐1 (U), ...
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Determinants of life satisfaction in Canada: A causal modeling approach
... a causal model and identify major determinants of life ...the causal process of life satisfaction. A significant number of causal connections contradict some of the findings in literature ...
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CS&SS / STAT 566 CAUSAL MODELING
... A causal theory aims to provide answers to causal questions in the same way that probability theory provides a formal method of answering questions about ...
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Counterfactuals and Causal Explanation
... so-called causal modeling techniques, which is the context in which statistical information is most likely to be extensively used: it is typically assumed, when these techniques are used, that the ...
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Introduction to Causal Inference
... of causal inference from observational sample data or a mixture of observational sample and experimental data, particularly in the area of graphical causal ...cal causal modeling ...graphical ...
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The Principles of Causal Conspiracy
... and its antiparticle have a very short life span and cannot exist for prolonged periods of time as logical statement in a logical spacetime continuum. The more complex a quantum structure is the more the mass it will ...
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Entropy of Causal Horizons
... We analyze spacetimes with horizons and study the thermodynamic aspects of causal horizons, suggesting that the resemblance between gravitational and thermodynamic systems has a deeper quantum mechanical origin. ...
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Causal Groupoid Symmetries
... basic causal metric needed to support measure- ment in ...transitions. Causal set (S, w) is the mathematical model of the ...a causal set with its own, smaller block ...
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Modeling Document level Causal Structures for Event Causal Relation Identification
... intra-sentence causal relations and cross-sentence causal relations as well due to score replacement, and improved their recall by ...intra-sentence causal relation identi- fication were slightly ...
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A Priori Causal Laws
... Sober (2011) and Elgin and Sober (Forthcoming) defend the claim that there are a priori causal laws in biology – specifically, laws saying that fitter traits will probably increase in frequency. Lange and ...
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Causal contributions and liability
... Fabre argues that a person who contributes to a wrongful venture resulting in unjust lethal threats is liable to be killed to avert those threats only if her causal contribution meets some threshold. She writes, A ...
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Properties and causal powers
... as causal powers) an object has flow from the combination of its intrinsic or categorical properties,"^^ the laws of nature and those intrinsic/categorical properties of other ...
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An examination of the relationships between causal attributions for smoking and smokers' treatment seeking and quit intentions: A structural equation modeling approach
... An additional potential issue with measurement was the lack of clarity between attributions made for smoking in the past and attributions for smoking in the present. Even though instructions asked for responses to be ...
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Causal Depth: Aspects of a Scientific Realist Approach to Causal Explanation contra Humean Empiricism
... There are some worries in physics about quantum causality and particularly non-locality after Bell's inequality was used by Aspect to show that non-locality did exist at the sub-atomic level. However, given the ...
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