Matías Salibián Barrera

12 papers Journal 11Unranked 1
YearRankTypeTitle / Venue / Authors
2024 J jnl
Tree-based boosting with functional data.
Comput. Stat.
Xiaomeng Ju, Matías Salibián Barrera
2021 J jnl
RBF: An R package to compute a robust backfitting estimator for additive models.
J. Open Source Softw.
Alejandra M. Martínez, Matías Salibián Barrera
2021 J jnl
Robust boosting for regression problems.
Comput. Stat. Data Anal.
Xiaomeng Ju, Matías Salibián Barrera
2020 J jnl
Robust estimation for semi-functional linear regression models.
Comput. Stat. Data Anal.
Graciela Boente, Matías Salibián Barrera, Pablo Vena
2016 J jnl
Robust tests for linear regression models based on τ-estimates.
Comput. Stat. Data Anal.
Matías Salibián Barrera, Stefan Van Aelst, Victor J. Yohai
2014 J jnl
A characterization of elliptical distributions and some optimality properties of principal components for functional data.
J. Multivar. Anal.
Graciela Boente, Matías Salibián Barrera, David E. Tyler
2013 J jnl
Special issue on robust analysis of complex data.
Comput. Stat. Data Anal.
Christophe Croux, Elvezio Ronchetti, Matías Salibián Barrera, Stefan Van Aelst
2010 J jnl
Finding approximate solutions to combinatorial problems with very large data sets using BIRCH.
Comput. Stat. Data Anal.
Justin Harrington, Matías Salibián Barrera
2010 J jnl
Globally robust confidence intervals for simple linear regression.
Comput. Stat. Data Anal.
Jorge Adrover, Matías Salibián Barrera
2010 — conf
Robust Model Selection with LARS Based on S-estimators.
COMPSTAT
Claudio Agostinelli, Matías Salibián Barrera
2008 J jnl
Fast and robust bootstrap.
Stat. Methods Appl.
Matías Salibián Barrera, Stefan Van Aelst, Gert Willems
2008 J jnl
Robust model selection using fast and robust bootstrap.
Comput. Stat. Data Anal.
Matías Salibián Barrera, Stefan Van Aelst