Peter Rousseeuw has written extensively on robust statistics, including:
* "Robust Regression and Outlier Detection" (co-authored with Annick Leroy) - a comprehensive text on robust methods for regression analysis, focusing on outlier detection and robust estimation.
* "Multivariate Analysis with the Forward Search" (co-authored with Mia Hubert) - a book on robust multivariate analysis, introducing a powerful technique called the forward search.
* "Robust Statistics: Theory and Methods" (co-authored with Anja Struyf) - a textbook covering the theoretical foundations and practical applications of robust statistics.
He has also authored numerous research papers on various topics in robust statistics, including:
* Breakdown point: A measure of the robustness of a statistical estimator.
* High-breakdown estimators: Estimators that are resistant to outliers.
* Data depth: A concept for measuring the centrality of a point in a dataset.
Peter Rousseeuw is considered one of the pioneers in the field of robust statistics. His work has been highly influential in statistics and has found applications in many areas, including data mining, machine learning, and finance.