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Bayesian inference for hidden truncation Pareto (IV) models
Journal of Statistical Computation and Simulation ( IF 1.1 ) Pub Date : 2020-05-15
Indranil Ghosh

In this paper, we consider observations arising out from a hidden truncation Pareto (IV) distribution and to be used to make inferences about the inequality, precision, shape and truncation parameter(s). Two different types of dependent prior analyses are reviewed and compared with each other. We conjecture that mathematical tractability should be, perhaps, a minor consideration in choosing the appropriate choices of the hyper-parameters for the prior densities. Some illustrative examples are provided. A simulation study is conducted to illustrate the applicability of the proposed model.



中文翻译:

隐藏截断帕累托(IV)模型的贝叶斯推断

在本文中,我们考虑了隐藏的截断帕累托(IV)分布所产生的观察结果,并用于推断不等式,精度,形状和截断参数。审查并比较了两种不同类型的相关先验分析。我们推测在为先验密度选择适当的超参数选择时,数学上的可延展性可能应该是一个较小的考虑。提供了一些说明性示例。进行了仿真研究,以说明所提出模型的适用性。

更新日期:2020-05-15
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