Bayesian parametric estimation based on left-truncated competing risks data under bivariate Clayton copula models

IF 1.2 4区数学 Q2 STATISTICS & PROBABILITY

Journal of Applied Statistics Pub Date : 2024-02-22 DOI:10.1080/02664763.2024.2315458

Hirofumi Michimae, Takeshi Emura, Atsushi Miyamoto, Kazuma Kishi

引用次数: 0

Abstract

In observational/field studies, competing risks and left-truncation may co-exist, yielding ‘left-truncated competing risks’ settings. Under the assumption of independent competing risks, parametric...

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基于双变量克莱顿共轭模型下左截断竞争风险数据的贝叶斯参数估计

在观察/实地研究中，竞争风险和左截断可能同时存在，从而产生 "左截断竞争风险 "设置。在独立竞争风险假设下，参数...

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来源期刊

Journal of Applied Statistics 数学-统计学与概率论

CiteScore

3.40

自引率

0.00%

发文量

126

审稿时长

6 months

期刊介绍： Journal of Applied Statistics provides a forum for communication between both applied statisticians and users of applied statistical techniques across a wide range of disciplines. These areas include business, computing, economics, ecology, education, management, medicine, operational research and sociology, but papers from other areas are also considered. The editorial policy is to publish rigorous but clear and accessible papers on applied techniques. Purely theoretical papers are avoided but those on theoretical developments which clearly demonstrate significant applied potential are welcomed. Each paper is submitted to at least two independent referees.