Assessing the performance of empirical bayes estimators-Reference-Cited by-同舟云学术

Assessing the performance of empirical bayes estimators

Published:1992-12 Issue:4 Volume:44 Page:641-657
ISSN:0020-3157
Container-title:Annals of the Institute of Statistical Mathematics
language:en
Short-container-title:Ann Inst Stat Math

Author:

Maritz J. S.,Lwin T.

Publisher

Springer Science and Business Media LLC

Subject

Statistics and Probability

Link

http://link.springer.com/content/pdf/10.1007/BF00053395.pdf

Reference13 articles.

1. Brown, B. M. (1985). Multiparameter linearization theorems, J. Roy. Statist. Soc. Ser. B, 47, 323?331.

2. Cox, D. R. and Hinkley, D. V. (1974). Theoretical Statistics, Chapman and Hall, London.

3. Dempster, A. P., Laird, N. M. and Rubin, D. B. (1977). Maximum likelihood from incomplete data via the EM algorithm (with discussion), J. Roy. Statist. Soc. Ser. B, 39, 1?38.

4. Griffin, B. S. and Krutchkoff, R. G. (1971). Optimal linear estimators: An empirical Bayes version with application to the binomial distribution, Biometrika, 58, 195?201.

5. Louis, T. A. (1982). Finding the observed information matrix when using the EM algorithm, J. Roy. Statist. Soc. Ser. B, 44, 226?233.

Cited by 4 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. The empirical Bayes estimators of the rate parameter of the gamma distribution with a conjugate gamma prior under Stein’s loss function;Communications in Statistics - Simulation and Computation;2024-06-22

2. The empirical Bayes estimators of the rate parameter of the inverse gamma distribution with a conjugate inverse gamma prior under Stein's loss function;Journal of Statistical Computation and Simulation;2020-12-12

3. The empirical Bayes estimators of the parameter of the Poisson distribution with a conjugate gamma prior under Stein's loss function;Journal of Statistical Computation and Simulation;2019-08-08

4. Indirect Maximum Likelihood Estimation;Optimization and Its Applications in Control and Data Sciences;2016