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On unbiased density estimation for ergodic diffusion

✍ Scribed by Yu.A. Kutoyants


Publisher
Elsevier Science
Year
1997
Tongue
English
Weight
316 KB
Volume
34
Category
Article
ISSN
0167-7152

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✦ Synopsis


Two classes of unbiased estimators of the density function of ergodic distribution for the diffusion process of observations are proposed. The estimators are square-root consistent and asymptotically normal. This curious situation is entirely different from the case of discrete-time models (Davis 1977) where the unbiased estimator rarely exists and usually the estimators are not square-root consistent.


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