Functional Cramér–Rao bounds and Stein estimators in Sobolev spaces, for Brownian motion and Cox processes

Journal Article (2017)
Author(s)

Eni Musta (TU Delft - Statistics)

M. Pratelli (Università degli Studi di Pisa)

D. Trevisan (Università degli Studi di Pisa)

Research Group
Statistics
Copyright
© 2017 E. Musta, M. Pratelli, D. Trevisan
DOI related publication
https://doi.org/10.1016/j.jmva.2016.10.011
More Info
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Publication Year
2017
Language
English
Copyright
© 2017 E. Musta, M. Pratelli, D. Trevisan
Research Group
Statistics
Volume number
154
Pages (from-to)
135-146
Reuse Rights

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Abstract

We investigate the problems of drift estimation for a shifted Brownian
motion and intensity estimation for a Cox process on a finite interval [0,T], when the risk is given by the energy functional associated to some fractional Sobolev space .
In both situations, Cramér–Rao lower bounds are obtained, entailing in
particular that no unbiased estimators (not necessarily adapted) with
finite risk in exist. By Malliavin calculus techniques, we also study super-efficient Stein type estimators (in the Gaussian case).

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