Medidas del flujo de información e interdependencia no lineal

L. Cisneros, J. Jiménez

Research output: Contribution to journalArticlepeer-review

1 Scopus citations


An algorithm for mutual prediction between time series is used to define an estimator that quantifies the amount of information that is transfered among diffent degrees of freedom of a system. It is presented a numerical example were is possible to discover the direction of greater information flux and a generalized synchronization state. The technique is then aplied to cardiacal rithm and arterial presure data. It is shown that the second transfers more information to the first. Finally, data of frequency and intensity of rain events is also investigated. It is found that there is few information transfer among those time series.

Original languageEnglish (US)
Pages (from-to)17-20
Number of pages4
JournalRevista Mexicana de Fisica
Issue numberSUPPL. 3
StatePublished - Nov 2003
Externally publishedYes


  • General sinchronization
  • Information transfer
  • Nonlinear interdependence
  • Time series analysis

ASJC Scopus subject areas

  • General Physics and Astronomy


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