LIBRA: a MATLAB library for robust analysis

By Sabine Verboven, Mia Hubert. 2005

416 citations recorded by the source corpus.

Subfields: Analytical Chemistry, Statistics and Probability

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Citations in the corpus

Robust statistics in data analysis — A review: Basic concepts (2007, methodology): “Amore detailed description of the algorithm can be found in [55] and Matlab implementation of this robust PCA method and other robust techniques [61] are available from [62].”
Outlier detection for skewed data (2008, background): “part of LIBRA: Matlab Library for Robust Analysis [ 28 ].”
A robustification of independent component analysis (2005, methodology): “Note also that the algorithms used in this paper are available as a part of the LIBRA toolbox [17] which can be freely downloaded from: http://www.”
Is tolerance good or bad for growth? (2010, neutral): “23 For more on the LTS estimator and its application, see Verboven and Hubert (2005) and Rousseeuw and Van Driessen (2006).”
Robust Correlation Analyses: False Positive and Power Validation Using a New Open Source Matlab Toolbox (2012, methodology): “The skipped_correlation.m function computes the MCD by calling the LIBRA toolbox (Verboten and Hubert, 2005 – free access at http://wis.kuleuven.be/stat/robust/LIBRA/LIBRA-home), which is distributed with the correlation toolbox under an academic public license.”
An adjusted boxplot for skewed distributions (2008, methodology): “We have implemented the adjusted boxplot in S-PLUS and Matlab, the latter being part of the LIBRA toolbox (Verboven and Hubert, 2005).”
Anomaly detection by robust statistics (2017, methodology): “Matlab functions for many of these methods are available in the LIBRA toolbox 77,78 , which can be downloaded from http://wis.kuleuven.be/stat/robust .”
Trust and growth: a shaky relationship (2008, neutral): “10 For practical-technical information about the LTS estimator and its application, see Verboven and Hubert (2005) and Rousseeuw and Van Driessen (2006).”
High-Breakdown Robust Multivariate Methods (2008, methodology): “Matlab functions for most of the procedures mentioned in this paper (MCD, LTS, MCD-regression, RQDA, ROBPCA, RPCR and RSIMPLS) are part of LIBRA, a Matlab LIBrary for Robust Analysis (Verboven and Hubert, 2005) which can be downloaded from http://wis.”
ROBPCA: A New Approach to Robust Principal Component Analysis (2005, methodology): “…based on the predictive power of the model, fast The Matlab program robpca and auxiliary functions are available at the websites http://www.agoras.ua.ac.be/ and http://www.wis.kuleuven.ac.be/stat/robust.html as part of LIBRA: the Matlab Library for Robust Analysis (Verboven and Hubert 2004).”
Takeover Time in Highly Automated Vehicles: Noncritical Transitions to and From Manual Control (2017, methodology): “The box plots had their outlier thresholds adjusted to accommodate the lognormal distribution of the TOrt data by using the LIBRA library for MATLAB (Verboven & Hubert, 2005) and its method for robust boxplots for non-normally distributed data by Hubert and Vandervieren (2008).”