Matías Salibián‐Barrera

Author

Also Known As

C. Stellbrink, Matias Salibian-Barrera, Matias Salibián-Barrera, Matías Salibian-Barrera, Matías Salibián Barrera, Matías Salibián-Barrera, Matías Salibián‐Barrera, Salibian-Barrera, Matias, Salibián-Barrera, Matías

Publications

1.6K

Citations

H-Index

Concepts

All Affiliations

University of British Columbia Universidad de Buenos Aires Consejo Nacional de Investigaciones Científicas y Técnicas Ghent University Carleton University

About

Matías Salibián‐Barrera is an author at University of British Columbia specializing in engineering, statistics, and statistical inference.

Top Concepts

#	Concept	H-Index	Publications	Citations
1	Engineering	14	23	1.1K
2	Biostatistics	4	4	296
3	Public Health	2	2	91
4	Business	1	1	13
5	Medicine	1	1	33

Matías Salibián‐Barrera

Publications

1.3K

Citations

H-Index

Page 1

	Year	Citations
A Fast Algorithm for S-Regression Estimates Matías Salibián‐Barrera, Vı́ctor J. Yohai Journal of Computational and Graphical Statistics Parameter EstimationFast AlgorithmEngineeringHigh-dimensional MethodData Science	2006	242
Bootrapping robust estimates of regression Matías Salibián‐Barrera, Ruben H. Zamar The Annals of Statistics Robust EstimatesRobust Regression EstimatesParameter EstimationBootstrap ResamplingEngineering	2002	173
Principal Components Analysis Based on Multivariate MM Estimators With Fast and Robust Bootstrap Matías Salibián‐Barrera, Stefan Van Aelst, Gert Willems Journal of the American Statistical Association Bootstrap ResamplingEngineeringMultivariate AnalysisData ScienceMm Estimators	2006	139
Fast and robust bootstrap Matías Salibián‐Barrera, Stefan Van Aelst, Gert Willems Statistical Methods & Applications Bootstrap ResamplingEngineeringMachine LearningHigh-dimensional MethodRobust Statistic	2007	81
On tests for multivariate normality and associated simulation studies Paul J. Farrell, Matías Salibián‐Barrera, Katarzyna Naczk Journal of Statistical Computation and Simulation Simulation MethodologyEngineeringMultivariate AnalysisGeneralizability TheoryEmpirical Size	2007	77
<b>RSKC</b>: An<i>R</i>Package for a Robust and Sparse K-Means Clustering Algorithm Yumi Kondo, Matías Salibián‐Barrera, Ruben H. Zamar Journal of Statistical Software Cluster ComputingEngineeringR Package RskcRsk-means PerformsUnsupervised Machine Learning	2016	56
Robust model selection using fast and robust bootstrap Matías Salibián‐Barrera, Stefan Van Aelst Computational Statistics & Data Analysis Robust Model SelectionBootstrap ResamplingRobust StatisticStatistical InferenceModel Comparison	2008	51
The Fast-τ Estimator for Regression Matías Salibián‐Barrera, Gert Willems, Ruben H. Zamar Journal of Computational and Graphical Statistics Parameter EstimationApproximating AlgorithmEngineeringData ScienceMore Popular S-estimators	2008	45
<i>S</i>-Estimators for Functional Principal Component Analysis Graciela Boente, Matías Salibián‐Barrera Journal of the American Statistical Association EngineeringMachine LearningData ScienceHigh-dimensional MethodRobust Scale Estimators	2014	42
An Outlier-Robust Fit for Generalized Additive Models With Applications to Disease Outbreak Detection Azadeh Alimadad, Matías Salibián‐Barrera Journal of the American Statistical Association	2011	40

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