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Matías Salibián Barrera
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2020 – today
- 2024
- [j11]Xiaomeng Ju
, Matías Salibián Barrera:
Tree-based boosting with functional data. Comput. Stat. 39(3): 1587-1620 (2024) - 2021
- [j10]Xiaomeng Ju, Matías Salibián Barrera:
Robust boosting for regression problems. Comput. Stat. Data Anal. 153: 107065 (2021) - [j9]Alejandra M. Martínez, Matías Salibián Barrera:
RBF: An R package to compute a robust backfitting estimator for additive models. J. Open Source Softw. 6(60): 2992 (2021) - 2020
- [j8]Graciela Boente
Robust estimation for semi-functional linear regression models. Comput. Stat. Data Anal. 152: 107041 (2020)
2010 – 2019
- 2016
- [j7]Matías Salibián Barrera, Stefan Van Aelst
Robust tests for linear regression models based on τ-estimates. Comput. Stat. Data Anal. 93: 436-455 (2016) - 2014
- [j6]Graciela Boente
A characterization of elliptical distributions and some optimality properties of principal components for functional data. J. Multivar. Anal. 131: 254-264 (2014) - 2013
- [j5]Christophe Croux
Special issue on robust analysis of complex data. Comput. Stat. Data Anal. 65: 1-3 (2013) - 2010
- [j4]Justin Harrington, Matías Salibián Barrera:
Finding approximate solutions to combinatorial problems with very large data sets using BIRCH. Comput. Stat. Data Anal. 54(3): 655-667 (2010) - [j3]Jorge Adrover, Matías Salibián Barrera:
Globally robust confidence intervals for simple linear regression. Comput. Stat. Data Anal. 54(12): 2899-2913 (2010) - [c1]Claudio Agostinelli, Matías Salibián Barrera:
Robust Model Selection with LARS Based on S-estimators. COMPSTAT 2010: 69-78
2000 – 2009
- 2008
- [j2]Matías Salibián Barrera, Stefan Van Aelst
Robust model selection using fast and robust bootstrap. Comput. Stat. Data Anal. 52(12): 5121-5135 (2008) - [j1]Matías Salibián Barrera, Stefan Van Aelst
Fast and robust bootstrap. Stat. Methods Appl. 17(1): 41-71 (2008)
Coauthor Index
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