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Strong laws for recurrence quantification analysis

  1. TitleStrong laws for recurrence quantification analysis
    Author infoMarian Grendár, Jana Majerová, Vladimír Špitalský
    Author Grendár Marian 1969- (34%) UMBFP10 - Katedra matematiky
    Co-authors Majerová Jana 1987- (33%) UMBFP10 - Katedra matematiky
    Špitalský Vladimír 1973- (33%) UMBFP10 - Katedra matematiky
    Source document International Journal of Bifurcation and Chaos : in Applied Sciences and Engineering. Vol. 23, no. 8 (2013), pp. [1-13]. - Singapore : World Scientific Publishing, 2013
    Keywords veľké čísla   Silný zákon veľkých čísel - Strong law of large numbers   large numbers   recurrence   quantification analysis  
    LanguageEnglish
    CountrySingapore
    systematics 51
    Public work category ADC
    No. of Archival Copy26933
    Repercussion category HIRATA, Yoshito - KOMURO, Motomasa - HORAI, Shunsuke - AIHARA, Kazuyuki. Faithfulness of recurrence plots : a mathematical proof. In International journal of bifurcation and chaos. ISSN 0218-1274, 2015, vol. 25, no. 12, art. no. 1550168.
    RAMDANI, Sofiane - BOUCHARA, Frederic - LESNE, Annick. Probabilistic analysis of recurrence plots generated by fractional Gaussian noise. In Chaos. ISSN 1054-1500, 2018, vol. 28, no. 8.
    RAMDANI, Sofiane - BOUCHARA, Frederic - LAGARDE, Julien - LESNE, Annick. Recurrence plots of discrete-time Gaussian stochastic processes. In Physica D-nonlinear phenomena. ISSN 0167-2789, 2016, vol. 330, pp. 17-31.
    Catal.org.BB301 - Univerzitná knižnica Univerzity Mateja Bela v Banskej Bystrici
    Databasexpca - PUBLIKAČNÁ ČINNOSŤ
    ReferencesPERIODIKÁ-Súborný záznam periodika
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Number of the records: 1  

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