Partial Mutual Information for Coupling Analysis of Multivariate Time Series 论文

2007Physical Review Letters引用 338
Complex Systems and Time Series AnalysisNeural Networks and ApplicationsSpectroscopy and Chemometric Analyses

详细信息

发表期刊/会议
Physical Review Letters
发表日期
2007-11-14
发表年份
2007

关键词

Complex Systems and Time Series AnalysisNeural Networks and ApplicationsSpectroscopy and Chemometric Analyses

摘要

We propose a method to discover couplings in multivariate time series, based on partial mutual information, an information-theoretic generalization of partial correlation. It represents the part of mutual information of two random quantities that is not contained in a third one. By suitable choice of the latter, we can differentiate between direct and indirect interactions and derive an appropriate graphical model. An efficient estimator for partial mutual information is presented as well.

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