An extension of cusp estimation problem in ergodic diffusion processes
We consider a non-regular estimation problem in ergodic diffusion processes whose drift coefficient includes a component x-[theta]p with . This is an extension of the work of Dachian and Kutoyants (2003) that deals with the case . We study the asymptotic behavior of the Bayes estimator via Ibragimov and Khasminskii's approach. Its convergence rate and asymptotic distribution are given. Furthermore, the Bayes estimator is asymptotically efficient in a certain minimax sense.
Year of publication: |
2010
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Authors: | Fujii, Takayuki |
Published in: |
Statistics & Probability Letters. - Elsevier, ISSN 0167-7152. - Vol. 80.2010, 9-10, p. 779-783
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Publisher: |
Elsevier |
Saved in:
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