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September, 1988 Convergence Rates for Empirical Bayes Estimation in the Uniform $U(0, \theta)$ Distribution
Yoshiko Nogami
Ann. Statist. 16(3): 1335-1341 (September, 1988). DOI: 10.1214/aos/1176350966


Let $\{(X_i, \theta_i)\}$ be a sequence of independent random vectors where $X_i$ has a uniform density $U(0, \theta_i)$ for $0 < \theta_i < m (< \infty)$ and the unobservable $\theta_i$ are i.i.d. $G$ in some class $\mathscr{G}$ of prior distributions. In the $(n + 1)$st problem we estimate $\theta_{n + 1}$ by $t_n(X_1, \cdots, X_n, X_{n + 1}) \doteq t_n(\mathbf{X})$, incurring the risk $R_n \doteq \mathbf{E}(t_n(\mathbf{X}) - \theta_{n + 1})^2$, where $\mathbf{E}$ denotes expectation with respect to all random variables $\{(X_i, \theta_i)\}^{n + 1}_{i = 1}$. Let $R$ be the infimum Bayes risk with respect to $G$. In this paper the author exhibits empirical Bayes estimators with a convergence rate $O(n^{-1/2})$ of $R_n - R$ and shows that there is a sequence of empirical Bayes estimators for which $R_n - R$ has a lower bound of the same order $n^{-1/2}$.


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Yoshiko Nogami. "Convergence Rates for Empirical Bayes Estimation in the Uniform $U(0, \theta)$ Distribution." Ann. Statist. 16 (3) 1335 - 1341, September, 1988.


Published: September, 1988
First available in Project Euclid: 12 April 2007

zbMATH: 0649.62003
MathSciNet: MR959207
Digital Object Identifier: 10.1214/aos/1176350966

Primary: 62C12
Secondary: 62C25, 62F10

Rights: Copyright © 1988 Institute of Mathematical Statistics


Vol.16 • No. 3 • September, 1988
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