activity
20082018
most citedA general trimming approach to robust Cluster Analysis

203 citations · 252 across the 5 of their papers we have counts for

collaborators

5 papers

stat.ME2018★ 8 cited

Center-Outward Distribution Functions, Quantiles, Ranks, and Signs in

Eustasio del Barrio, Juan A. Cuesta-Albertos, Marc Hallin +1

Univariate concepts as quantile and distribution functions involving ranks and signs, do not canonically extend to . Palliating that has generated an abundan…

math.PR2013★ 1 cited

The empirical cost of optimal incomplete transportation

Eustasio del Barrio, Carlos Matrán

We consider the problem of optimal incomplete transportation between the empirical measure on an i.i.d. uniform sample on the d-dimensional unit cube and the true measure…

math.ST2012★ 21 cited

Similarity of samples and trimming

Pedro C. Álvarez-Esteban, Eustasio del Barrio, Juan A. Cuesta-Albertos +1

We say that two probabilities are similar at level if they are contaminated versions (up to an fraction) of the same common probability. We show how this model is related t…

math.ST2008★ 19 cited

Trimming and likelihood: Robust location and dispersion estimation in the elliptical model

Juan A. Cuesta-Albertos, Carlos Matrán, Agustín Mayo-Iscar

Robust estimators of location and dispersion are often used in the elliptical model to obtain an uncontaminated and highly representative subsample by trimming the data outside an…

math.ST2008★ 203 cited

A general trimming approach to robust Cluster Analysis

Luis A. García-Escudero, Alfonso Gordaliza, Carlos Matrán +1

We introduce a new method for performing clustering with the aim of fitting clusters with different scatters and weights. It is designed by allowing to handle a proportion of c…