论文标题
关于JAG中审查数据的贝叶斯建模规范的注释
A Note on Bayesian Modeling Specification of Censored Data in JAGS
论文作者
论文摘要
只是另一个吉布斯采样（JAGS）是一种方便的工具，可以使用马尔可夫链蒙特卡洛进行贝叶斯建模来绘制后样品。但是，内置函数dinterval（）用于模型审查数据的模型错误地计算了偏差函数的计算，这可能会限制其用法以执行基于可能性的模型比较。为了建立一种自动方法来指定JAG中正确的偏差功能，我们提出了一种简单的替代建模策略，以实现贝叶斯模型选择以分析审查结果。所提出的方法适用于广泛的数据类型，其中包括生存数据以及许多其他右，左和间隔经过的贝叶斯模型结构。
Just Another Gibbs Sampling (JAGS) is a convenient tool to draw posterior samples using Markov Chain Monte Carlo for Bayesian modeling. However, the built-in function dinterval() to model censored data misspecifies the computation of deviance function, which may limit its usage to perform likelihood based model comparison. To establish an automatic approach to specify the correct deviance function in JAGS, we propose a simple alternative modeling strategy to implement Bayesian model selection for analysis of censored outcomes. The proposed approach is applicable to a broad spectrum of data types, which include survival data and many other right-, left- and interval-censored Bayesian model structures.
