Počet záznamů: 1  

Time-Reversibility, Causality and Compression-Complexity

  1. 1.
    SYSNO ASEP0541918
    Druh ASEPJ - Článek v odborném periodiku
    Zařazení RIVJ - Článek v odborném periodiku
    Poddruh JČlánek ve WOS
    NázevTime-Reversibility, Causality and Compression-Complexity
    Tvůrce(i) Kathpalia, Aditi (UIVT-O) RID, ORCID, SAI
    Nagaraj, N. (IN)
    Celkový počet autorů2
    Číslo článku327
    Zdroj.dok.Entropy. - : MDPI
    Roč. 23, č. 3 (2021)
    Poč.str.21 s.
    Jazyk dok.eng - angličtina
    Země vyd.CH - Švýcarsko
    Klíč. slovatime-reversibility ; time-irreversibility ; temporal asymmetry ; compression-complexity ; effort-to-compress ; compressive potential ; interventional causality ; heart period variability asymmetry ; sunspot numbers
    Vědní obor RIVBA - Obecná matematika
    Obor OECDApplied mathematics
    CEPGA19-16066S GA ČR - Grantová agentura ČR
    Způsob publikováníOpen access
    Institucionální podporaUIVT-O - RVO:67985807
    UT WOS000633595200001
    EID SCOPUS85102958587
    DOI10.3390/e23030327
    AnotaceDetection of the temporal reversibility of a given process is an interesting time series analysis scheme that enables the useful characterisation of processes and offers an insight into the underlying processes generating the time series. Reversibility detection measures have been widely employed in the study of ecological, epidemiological and physiological time series. Further, the time reversal of given data provides a promising tool for analysis of causality measures as well as studying the causal properties of processes. In this work, the recently proposed Compression-Complexity Causality (CCC) measure (by the authors) is shown to be free of the assumption that the „cause precedes the effect”, making it a promising tool for causal analysis of reversible processes. CCC is a data-driven interventional measure of causality (second rung on the Ladder of Causation) that is based on Effort-to-Compress (ETC), a well-established robust method to characterize the complexity of time series for analysis and classification. For the detection of the temporal reversibility of processes, we propose a novel measure called the Compressive Potential based Asymmetry Measure. This asymmetry measure compares the probability of the occurrence of patterns at different scales between the forward-time and time-reversed process using ETC. We test the performance of the measure on a number of simulated processes and demonstrate its effectiveness in determining the asymmetry of real-world time series of sunspot numbers, digits of the transcedental number π and heart interbeat interval variability.
    PracovištěÚstav informatiky
    KontaktTereza Šírová, sirova@cs.cas.cz, Tel.: 266 053 800
    Rok sběru2022
    Elektronická adresahttp://dx.doi.org/10.3390/e23030327
Počet záznamů: 1  

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