A wavelet analysis of the Rosenblatt process: Chaos expansion and estimation of the self-similarity parameter
By using chaos expansion into multiple stochastic integrals, we make a wavelet analysis of two self-similar stochastic processes: the fractional Brownian motion and the Rosenblatt process. We study the asymptotic behavior of the statistic based on the wavelet coefficients of these processes. Basical...
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Published in | Stochastic analysis and applications Vol. 120; no. 12; pp. 2331 - 2362 |
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Main Authors | , |
Format | Journal Article |
Language | English |
Published |
Amsterdam
Elsevier B.V
01.12.2010
Elsevier Taylor & Francis: STM, Behavioural Science and Public Health Titles |
Series | Stochastic Processes and their Applications |
Subjects | |
Online Access | Get full text |
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