Mathematics – Statistics Theory
Scientific paper
2007-11-26
Bernoulli 2007, Vol. 13, No. 4, 933-951
Mathematics
Statistics Theory
Published in at http://dx.doi.org/10.3150/07-BEJ1040 the Bernoulli (http://isi.cbs.nl/bernoulli/) by the International Statist
Scientific paper
10.3150/07-BEJ1040
We investigate the moment estimation for an ergodic diffusion process with unknown trend coefficient. We consider nonparametric and parametric estimation. In each case, we present a lower bound for the risk and then construct an asymptotically efficient estimator of the moment type functional or of a parameter which has a one-to-one correspondence to such a functional. Next, we clarify a higher order property of the moment type estimator by the Edgeworth expansion of the distribution function.
Kutoyants Yury A.
Yoshida Nakahiro
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