The Poisson Compound Decision Problem Revisited

被引:19
|
作者
Brown, Lawrence D. [1 ]
Greenshtein, Eitan [2 ]
Ritov, Ya'acov [3 ]
机构
[1] Univ Penn, Wharton Sch, Dept Stat, Philadelphia, PA 19104 USA
[2] Israel Census Bur Stat, IL-95464 Jerusalem, Israel
[3] Hebrew Univ Jerusalem, Dept Stat, IL-91905 Jerusalem, Israel
基金
美国国家科学基金会;
关键词
Cross-Validation; Empirical Bayes; NPMLE; Robbins; NONPARAMETRIC EMPIRICAL BAYES; ESTIMATOR;
D O I
10.1080/01621459.2013.771582
中图分类号
O21 [概率论与数理统计]; C8 [统计学];
学科分类号
020208 ; 070103 ; 0714 ;
摘要
The compound decision problem for a vector of independent Poisson random variables with possibly different means has a half-century-old solution. However, it appears that the classical solution needs smoothing adjustment. We discuss three such adjustments. We also present another approach that first transforms the problem into the normal compound decision problem. A simulation study shows the effectiveness of the procedures in improving the performance over that of the classical procedure. A real data example is also provided. The procedures depend on a smoothness parameter that can be selected using a nonstandard cross-validation step, which is of independent interest. Finally, we mention some asymptotic results.
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页码:741 / 749
页数:9
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