Abstract
This paper is concerned with the estimation of the period of an unknown periodic function in Gaussian white noise. A class of estimators of the period is constructed by means of a penalized maximum likelihood method. A second-order asymptotic expansion of the risk of these estimators is obtained. Moreover, the minimax problem for the second-order term is studied and an estimator of the preceding class is shown to be second order efficient. © 2007 ISI/BS.
| Original language | English |
|---|---|
| Pages (from-to) | 910-932 |
| Journal | Bernoulli: A Journal of Mathematical Statistics and Probability |
| Volume | 13 |
| Issue number | 4 |
| DOIs | |
| Publication status | Published - 2007 |
Bibliographical note
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