Topic: Outliers and Robust Fitting

Reporting Robustness as a Sensitivity Check

RANSAC for Regression With Contaminated Responses

Masking and Swamping in Outlier Detection

Least Absolute Deviations Regression

Least Trimmed Squares and High-Breakdown Fitting

Iteratively Reweighted Least Squares for Huber Regression

Interpreting Least Absolute Deviations Coefficients

Huber Regression and Bounded Residual Influence

How Leverage Can Conceal a Response Outlier

Comparing Robust Fits Under Response Contamination