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Semiparametric Bayesian Inference for Accelerated Failure Time Models with Errors-in-Covariates and Doubly Censored Data

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摘要这份报纸建议贝叶斯的semiparametric与errors-in-covariates为二倍地审查的数据加速了失败时间模型。作者经由Dirichlet过程为未被遵守的covariates和回归错误的分布建模。而且，作者为可变选择把贝叶斯的套索途径递我们的semiparametric模型。作者为以后的计算开发Markov链蒙特卡罗策略。模拟研究被进行显示出建议方法的表演。作者也用PBC数据和ACTG175数据的分析表明方法的实现。

DOI ldeqymnqd3/1752989

作者 SHEN Junshan;LI Zhaonan;YU Hanjun;FANG Xiangzhong

机构地区不详

出处《系统科学与复杂性学报：英文版》 2017年5期

关键词加速的失败时间模型 Dirichlet 过程 errors-in-covariates 吉布斯采样可变选择

分类 [自然科学总论][系统科学]

出版日期 2017年05月15日（中国Betway体育网页登陆平台首次上网日期，不代表论文的发表时间）

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系统科学与复杂性学报：英文版

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加速的失败时间模型 Dirichlet 过程 errors-in-covariates 吉布斯采样可变选择

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