Classification of Processes by the Lyapunov exponent

This paper deals with the problem of the discrimination between wellpredictable and not-well-predictable time series. One criterion for the separation is given by the size of the Lyapunov exponent, which was originally defined for deterministic systems. However, the Lyapunov exponent can also be analyzed and used for stochastic time series. Experimental results illustrate the classification between well-predictable and not-well-predictable time series.

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Year of publication:	2004
Authors:	Busse, Anja M.
Publisher:	Dortmund : Universität Dortmund, Sonderforschungsbereich 475 - Komplexitätsreduktion in Multivariaten Datenstrukturen
Subject:	Zeitreihenanalyse \| Prognoseverfahren \| Theorie \| Klassifikationsanalyse

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Series:	Technical Report ; 2004,70
Type of publication:	Book / Working Paper
Type of publication (narrower categories):	Working Paper
Language:	English
Other identifiers:	479038813 [GVK] hdl:10419/22583 [Handle] RePEc:zbw:sfb475:200470 [RePEc]
Source:	EconStor

Persistent link: https://ebvufind01.dmz1.zbw.eu/10010296654