张应应, 荣腾中, 李曼曼. 幂幂损失下正约束参数的贝叶斯估计量及其应用[J]. 应用概率统计, 2023, 39(2): 159-177. DOI: 10.3969/j.issn.1001-4268.2023.02.001
引用本文: 张应应, 荣腾中, 李曼曼. 幂幂损失下正约束参数的贝叶斯估计量及其应用[J]. 应用概率统计, 2023, 39(2): 159-177. DOI: 10.3969/j.issn.1001-4268.2023.02.001
ZHANG Yingying, RONG Tengzhong, LI Manman. The Bayes Estimator of the Positive Restricted Parameter under the Power-Power Loss with an Application[J]. Chinese Journal of Applied Probability and Statistics, 2023, 39(2): 159-177. DOI: 10.3969/j.issn.1001-4268.2023.02.001
Citation: ZHANG Yingying, RONG Tengzhong, LI Manman. The Bayes Estimator of the Positive Restricted Parameter under the Power-Power Loss with an Application[J]. Chinese Journal of Applied Probability and Statistics, 2023, 39(2): 159-177. DOI: 10.3969/j.issn.1001-4268.2023.02.001

幂幂损失下正约束参数的贝叶斯估计量及其应用

The Bayes Estimator of the Positive Restricted Parameter under the Power-Power Loss with an Application

  • 摘要: 所提出的幂幂损失函数对参数过大或过小具有均衡收敛速度或惩罚, 具有本文列出的所有七个性质, 因此建议用于正限制参数空间.然后在幂幂损失函数下计算参数的贝叶斯估计量、后验风险、综合风险和贝叶斯风险.接着, 我们在一个分层正态--正态逆伽玛模型下解析地计算了这些量. 最后,数值模拟验证了我们的理论研究.

     

    Abstract: The proposed power-power loss function which has balanced convergence rates or penalties for its argument too large and too small, has all the seven properties listed in this paper, and thus it is recommended to use for the positive restricted parameter space. We then calculate the Bayes estimator, the posterior risk, the integrated risk, and the Bayes risk of the parameter under the power-power loss function. After that, we analytically calculate these quantities under a hierarchical normal and normal-inverse-gamma model. Finally, the numerical simulations exemplify our theoretical studies.

     

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