Exact(4)
Such estimates are mostly useful for analyzing impacts in a multivariate system as clearly demonstrated by [19] and [20].
Partial directed coherence (PDC) is a metric aimed to identify causal relationships between signals at different frequencies in a multivariate system [Baccalá and Sameshima, 2001].
Kirkpatrick and Meyer [ 13] have introduced a direct PC approach that exploits only leading principal components to model the variation in a multivariate system to improve the precision of the estimation and to reduce the computational burden inherent in the analysis of large and complex datasets.
This methodology is comparative in the sense that in a multivariate system if one investigates if y is causing x, then a model of x based on every variable including y is compared with a model of x based on every variable excluding y.
Similar(56)
The best-known examples are probably Michaelis-Menten and Hill rate laws, which are ultimately explicit, but in truth approximate a multivariate system of underlying chemical processes.
In the recent joint statement by the American Diabetes Association and the European Association for the Study of Diabetes [ 33], it was recommended that one area of necessary research was the definition of the metabolic syndrome based on continuous variables in a multivariate score system.
The adaptive immunity classifier is not a single complex multivariate system with parameters adjusted in course of learning.
In multivariate systems or in other distributions, θ can be much smaller than so that γ takes negative values, as illustrated below, so it turns out that θ often provides an easier to interpret measure of association than does γ.
Partial directed coherence is a powerful tool used to analyze interdependencies in multivariate systems based on vector autoregressive modeling.
A basic class of multivariate system identification input design methods is proposed.
However, the power of the Johansen test in multivariate systems with small sample size can be severely distorted.
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