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On efficient estimation of invariant density for ergodic diffusion processes

✍ Scribed by Ilia Negri


Publisher
Elsevier Science
Year
2001
Tongue
English
Weight
96 KB
Volume
51
Category
Article
ISSN
0167-7152

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✦ Synopsis


The problem of nonparametric invariant density function estimation of an ergodic di usion process is considered. The local asymptotic minimax lower bound on the risk of all the estimators is established. The asymptotic risk considered measures the distance between the estimators and the density that has to be estimate in a functional space endowed with the supremum norm. The local time estimator is asymptotically e cient in the sense of this lower bound.


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