A Bayesian Approach to Outlier Detection and Residual Analysis
提出一种在线性模型中检测离群值的贝叶斯方法，通过考察随机误差的后验分布来识别离群值，并建议使用增强残差图作为图形辅助工具。
An approach to detecting outliers in a linear model is developed. An outlier is defined to be an observation with a large random error, generated by the linear model under consideration. Outliers are detected by examining the posterior distribution of the random errors. An augmented residual plot is also suggested as a graphical aid in finding outliers.