Robust model selection using fast and robust bootstrap. - Matías Salibián Barrera; Stefan Van Aelst (Comput. Stat. Data Anal., 2008)

Fast and robust bootstrap. - Matías Salibián Barrera; Stefan Van Aelst; Gert Willems (Stat. Methods Appl., 2008)

Robust Model Selection with LARS Based on S-estimators. - Claudio Agostinelli; Matías Salibián Barrera (COMPSTAT, 2010)

Globally robust confidence intervals for simple linear regression. - Jorge Adrover; Matías Salibián Barrera (Comput. Stat. Data Anal., 2010)

Finding approximate solutions to combinatorial problems with very large data sets using BIRCH. - Justin Harrington; Matías Salibián Barrera (Comput. Stat. Data Anal., 2010)

Special issue on robust analysis of complex data. - Christophe Croux; Elvezio Ronchetti; Matías Salibián Barrera; Stefan Van Aelst (Comput. Stat. Data Anal., 2013)

A characterization of elliptical distributions and some optimality properties of principal components for functional data. - Graciela Boente; Matías Salibián Barrera; David E. Tyler (J. Multivar. Anal., 2014)

Robust tests for linear regression models based on τ-estimates. - Matías Salibián Barrera; Stefan Van Aelst; Victor J. Yohai (Comput. Stat. Data Anal., 2016)

Robust estimation for semi-functional linear regression models. - Graciela Boente; Matías Salibián Barrera; Pablo Vena (Comput. Stat. Data Anal., 2020)

Robust boosting for regression problems. - Xiaomeng Ju; Matías Salibián Barrera (Comput. Stat. Data Anal., 2021)

RBF: An R package to compute a robust backfitting estimator for additive models. - Alejandra M. Martínez; Matías Salibián Barrera (J. Open Source Softw., 2021)

Tree-based boosting with functional data. - Xiaomeng Ju; Matías Salibián Barrera (Comput. Stat., 2024)