A Bayesian approach to outlier detection and residual analysis
Kathryn M. Chaloner, Rollin Brant · Biometrika · 1988
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.