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Granger causality identification is a potential approach for the detection of possible interactions in a data driven framework couched in terms of temporal precedence.
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Research into knee injury causality, and identification of risk factors that may predispose adolescent basketball players to knee injury, could assist in the development of knee injury-prevention programs [ 9] to reduce injury prevalence and assist young people to maintain active lifestyles.
Substantial reductions in exposure to particles can be achieved by portable air filtration units in the indoor environment allowing assessment of causality, understanding mechanistic endpoints, identification of relevant sources and development of large scale long-term interventions in relevant risk groups.
In the present report, identification of Granger causality using the SVAR model is related to the definition of partial Granger-causality given by [ 49].
The first area is identification of the causality of SDA in 'model' organisms.
The next step in the development of this BN structure is the identification of the causality relations among the defined random variables and the construction of the respective DAG, which represents these relations.
The research focus was on an identification of a causality of the high-valuable or premium (i.e. VIPs, FFP- and Golden−/Silver−/Platinum card members, first-class and business passengers) passengers' importance to the airline and a conceivable influence of this importance on decisions on delays within its operation execution and disruptive events.
Fujita et al. [ 20- 22] suggested a concept for the identification of Granger causality between groups of time series.
In a different manner, the identification of Granger causality [ 6] within a network allows the clustering of genes based on their topological proximity in the network [ 7, 8].
In this study we perform gene clustering through the identification of Granger causality between and within sets of time series gene expression data.
In order to simplify both notation and concepts, only the identification of Granger causality for sets of time series in an Autoregressive process of order one is presented.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com