Detecting causality in multivariate time series via

HIGHLIGHTS

  • who: Non-Uniform Embedding and colleagues from the School of Computer and Information Technology, Beijing Jiaotong University, Beijing, China have published the article: Detecting Causality in Multivariate Time Series via, in the Journal: (JOURNAL)
  • what: In the actual application the authors show its applicability to epilepsy multichannel electrocorticographic recordings. To overcome the above shortcomings, the authors propose a new non-uniform embedding method named LM-PMIME for multivariate time series based on the low-dimensional approximation of conditional mutual information(CMI) and the mixed search strategy. The authors show effective modifications for the well-known . . .

     

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