Investigating Multivariate Systems using Directed Partial Correlation
نویسندگان
چکیده
Directed partial correlation is a measure for the likelihood of a directed direct interdependence in a multivariate system. Directed partial correlation is based on vector autoregressive processes, and is able to detect Granger causality in such systems. Because inference is entirely drawn from measured data no prior knowledge on the system under investigation is needed.
منابع مشابه
Investigating the role of self-directed learning readiness and the internal locus of control in predicting the psychological well-being of the elderly
Introduction: Psychological well-being is one of the important components of mental health in the elderly, and it is important to study the factor affecting on it. Therefore, the current study was conducted in Iran with the aim to investigate the role of self-directed learning readiness and the internal locus of control in predicting the psychological well-being of the elderly. Methods: This st...
متن کاملComparison of linear signal processing techniques to infer directed interactions in multivariate neural systems
Over the last decades several techniques have been developed to analyze interactions in multivariate dynamic systems. These analysis techniques have been applied to empirical data recorded in various branches of research, ranging from economics to biomedical sciences. Investigations of interactions between different brain structures are of strong interest in neuroscience. The information contai...
متن کاملEffect of Self-Directed Learning on the Components of Reading Comprehension
Research shows a positive relationship between self-directed learning (SDL) andreading comprehension. The present quasi-experimental study attempted to expandthe scope of SDL by investigating its effect on the components of readingcomprehension. Sixty high school students took the reading comprehension part ofPET as the pretest and the posttest. Over 16 weeks, the experimental group,consisting ...
متن کاملDetecting Coupling Directions in Multivariate Oscillatory Systems
Determination of synchronization phenomena between pairs of coupled multivariate processes is of particular interest in Nonlinear Dynamics. Besides synchronization phenomena, coupling directions between the processes are investigated. We present an approach to analyze coupling directions in multivariate oscillatory stochastic systems. We propose usage of partial directed coherence developed in ...
متن کاملAssessing the strength of directed influences among neural signals using renormalized partial directed coherence.
Partial directed coherence is a powerful tool used to analyze interdependencies in multivariate systems based on vector autoregressive modeling. This frequency domain measure for Granger-causality is designed such that it is normalized to [0,1]. This normalization induces several pitfalls for the interpretability of the ordinary partial directed coherence, which will be discussed in some detail...
متن کامل