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Why Modified exponential covariance kernel is empirically successful: A theoretical explanation

Publikation: Beitrag in FachzeitschriftArtikelForschungPeer-Review

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Externe Organisationen

  • University of Texas at El Paso
  • The University of Liverpool

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OriginalspracheEnglisch
Seiten (von - bis)10-14
Seitenumfang5
FachzeitschriftJournal of Uncertain Systems
Jahrgang10
Ausgabenummer1
PublikationsstatusVeröffentlicht - Feb. 2016
Extern publiziertJa

Abstract

It is known that in the first approximation, many real-life stationary stochastic processes are well- described by an exponential covariance kernel C(u) = exp(-a|u|). Empirical evidence shows that in many practical situations, a good second approximation is provided by the modified exponential covari- ance kernel C(u) = exp(-a |u|) (1-r|u|). In this paper, we provide a theoretical explanation for this empirical phenomenon.

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Why Modified exponential covariance kernel is empirically successful: A theoretical explanation. / Kosheleva, Olga; Beer, Michael.
in: Journal of Uncertain Systems, Jahrgang 10, Nr. 1, 02.2016, S. 10-14.

Publikation: Beitrag in FachzeitschriftArtikelForschungPeer-Review

Kosheleva, Olga ; Beer, Michael. / Why Modified exponential covariance kernel is empirically successful : A theoretical explanation. in: Journal of Uncertain Systems. 2016 ; Jahrgang 10, Nr. 1. S. 10-14.
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