Identifying the multifractional function of a Gaussian process
Gaussian processes that are multifractional are studied in this paper. By multifractional processes we mean that they behave locally like a fractional Brownian motion, but the fractional index is no more a constant: it is a function. We introduce estimators of this multifractional function based on discrete observations of one sample path of the process and we study their asymptotical behavior as the mesh decreases to zero.
Year of publication: |
1998
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Authors: | Benassi, Albert ; Cohen, Serge ; Istas, Jacques |
Published in: |
Statistics & Probability Letters. - Elsevier, ISSN 0167-7152. - Vol. 39.1998, 4, p. 337-345
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Publisher: |
Elsevier |
Subject: | Gaussian processes Identification Multifractional function |
Saved in:
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