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Directionality of Coupling from Bivariate Time Series: How to Avoid False Causalities and Missed Connections

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21230%2F07%3A03132442" target="_blank" >RIV/68407700:21230/07:03132442 - isvavai.cz</a>

  • Alternative codes found

    RIV/67985807:_____/07:00083502

  • Result on the web

  • DOI - Digital Object Identifier

Alternative languages

  • Result language

    angličtina

  • Original language name

    Directionality of Coupling from Bivariate Time Series: How to Avoid False Causalities and Missed Connections

  • Original language description

    We discuss some problems encountered in inference of directionality of coupling, or, in the case of two interacting systems, in inference of causality from bivariate time series. We identify factors and influences that can lead to either decreased test sensitivity or false detections and propose ways to cope with them in order to perform tests with high sensitivity and a low rate of false positive results.

  • Czech name

    Není k dispozici

  • Czech description

    Není k dispozici

Classification

  • Type

    J<sub>x</sub> - Unclassified - Peer-reviewed scientific article (Jimp, Jsc and Jost)

  • CEP classification

    JC - Computer hardware and software

  • OECD FORD branch

Result continuities

  • Project

  • Continuities

    Z - Vyzkumny zamer (s odkazem do CEZ)

Others

  • Publication year

    2007

  • Confidentiality

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Data specific for result type

  • Name of the periodical

    Physical Review E

  • ISSN

    1539-3755

  • e-ISSN

  • Volume of the periodical

    75

  • Issue of the periodical within the volume

    5

  • Country of publishing house

    US - UNITED STATES

  • Number of pages

    1

  • Pages from-to

    056211-056211

  • UT code for WoS article

  • EID of the result in the Scopus database