Volume 5, 2001
|Page(s)||225 - 242|
|Published online||15 August 2002|
Diffusions with measurement errors. I. Local Asymptotic Normality
G.R.A.P.E., UMR 5113 du CNRS, Université Montesquieu (Bordeaux), Avenue Léon Duguit, 33608 Pessac,
2 Laboratoire de Probabilités et Modèles Aléatoires, UMR 7599 du CNRS, Université Paris 6, 4 place Jussieu, 75252 Paris, France; firstname.lastname@example.org.
Revised: 24 October 2001
We consider a diffusion process X which is observed at times i/n for i = 0,1,...,n, each observation being subject to a measurement error. All errors are independent and centered Gaussian with known variance pn. There is an unknown parameter within the diffusion coefficient, to be estimated. In this first paper the case when X is indeed a Gaussian martingale is examined: we can prove that the LAN property holds under quite weak smoothness assumptions, with an explicit limiting Fisher information. What is perhaps the most interesting is the rate at which this convergence takes place: it is (as when there is no measurement error) when pn goes fast enough to 0, namely npn is bounded. Otherwise, and provided the sequence pn itself is bounded, the rate is (pn / n)1/4. In particular if pn = p does not depend on n, we get a rate n-1/4.
Mathematics Subject Classification: 60J60 / 62F12 / 62M05
Key words: Statistics of diffusions / measurement errors / LAN property.
© EDP Sciences, SMAI, 2001
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.