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.