| 多参数离散指数族参数渐近最优的经验Bayes估计的收敛速度 |
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| 引用本文： | 杨亚宁,韦来生. 多参数离散指数族参数渐近最优的经验Bayes估计的收敛速度[J]. 应用概率统计, 1995, 11(1): 92-102 |
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| 作者姓名： | 杨亚宁 韦来生 |
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| 作者单位： | 中国科技大学 合肥230026 |
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| 基金项目： | The project is supported by the National Natural Science Foundation of China |
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| 摘 要： | 本文构造了多参数离散指数族参数的渐近最优的经验Bayes（EB）估计,若记B_n（δ_n,G）为δn的全面Bayes风险,R_G最小Bayes风险,则在某些条件下c_1n~(-1）2成立,其中c_1,c_2为正的常数,
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| 关 键 词： | 收敛速度 离散指数族 贝叶斯估计 EB估计 |
The convergence rates of empirical Bayes estimation for the parameters of multi-parameter discrete exponential family |
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| YANG YANING WEI LAISHBNGDept of Math University of Science and Technology of China Hefei,Anhui,). The convergence rates of empirical Bayes estimation for the parameters of multi-parameter discrete exponential family[J]. Chinese Journal of Applied Probability and Statisties, 1995, 11(1): 92-102 |
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| Authors: | YANG YANING WEI LAISHBNGDept of Math University of Science Technology of China Hefei Anhui ) |
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| Affiliation: | YANG YANING WEI LAISHBNGDept of Math University of Science and Technology of China Hefei,Anhui,230025) |
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| Abstract: | |
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| Keywords: | Empirical Bayes estimation conTergenoe rates multi-parameter discrete exponential family |
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