Transactions of the Japan Society for Industrial and Applied Mathematics
Online ISSN : 2424-0982
ISSN-L : 0917-2246
Effects of the window in information on fitting a chaotic time series to a stochastic long memory process
Kei Inoue
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2007 Volume 17 Issue 1 Pages 59-72

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Abstract
It is known that a certain chaotic deterministic process exhibits long memory behavior. Recently, Guegan shows how we can adjust such a chaotic time series to a stchastic long memory process. He estimated a value for long memory parameter of a chaotic time series with long memory. In this paper, we introduce a periodogram smoothed by the window in information. We attempt to reduce the estimated error of a spectral density.(Application)
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© 2007 The Japan Society for Industrial and Applied Mathematics
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