Asymptotic properties of an estimator for the drift coefficient of a stochastic differential equation with fractional Brownian motion
Authors:
E. I. Kasyts’ka and P. S. Knopov
Translated by:
Oleg Klesov
Journal:
Theor. Probability and Math. Statist. 79 (2009), 73-81
MSC (2000):
Primary 60H10; Secondary 62M05
DOI:
https://doi.org/10.1090/S0094-9000-09-00781-9
Published electronically:
December 29, 2009
MathSciNet review:
2494536
Full-text PDF Free Access
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Abstract: A stochastic differential equation with respect to fractional Brownian motion is considered. We study the maximum likelihood estimator for the drift coefficient. We assume that the coefficient belongs to a given compact set of functions and prove the strong consistency of the estimator and its asymptotic normality.
References
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References
- A. Ya. Dorogovtsev, The Theory of Estimates of the Parameters of Random Processes, Vyshcha Shkola, Kiev, 1982. (Russian) MR 668517 (84h:62122)
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- J. Pfanzagl, On the measurability and consistency of minimum contrast estimates, Metrika 14 (1969), 249–272.
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Additional Information
E. I. Kasyts’ka
Affiliation:
Glushkov Institute for Cybernetics, National Academy of Sciences of Ukraine, Academician Glushkov Avenue, 03187 Kyiv, Ukraine
P. S. Knopov
Affiliation:
Glushkov Institute for Cybernetics, National Academy of Sciences of Ukraine, Academician Glushkov Avenue, 03187 Kyiv, Ukraine
Email:
knopov1@yahoo.com
Keywords:
Fractional Wiener process,
stochastic integral,
stochastic differential equation,
drift coefficient
Received by editor(s):
July 7, 2008
Published electronically:
December 29, 2009
Article copyright:
© Copyright 2009
American Mathematical Society