activity
20052026
most citedA wavelet-based tool for studying non-periodicity

99 citations · 348 across the 26 of their papers we have counts for

collaborators

26 papers

stat.ME2026

Data envelopment analysis with common-denominator ratio variables: An application to education with methodological extensions

Vicente J. Bolós, Víctor J. España, Rafael Benítez +1

The use of ratio variables in convex Data Envelopment Analysis (DEA) models has long been recognized as a methodological issue, as ratios may be incompatible with the convexity ass…

stat.ME2026★ 1 cited

Biarchetype analysis for univariate functional data. An application to macroeconomic financial time series

Aleix Alcacer, Rafael Benitez, Vicente J. Bolos +1

We introduce biarchetype analysis for the first time in the context of univariate functional data. This unsupervised methodology extends archetype analysis by simultaneously identi…

stat.ME2026★ 1 cited

Archetypal analysis of European 10-year government bond yields with multidimensional scaling of two-mode three-way asymmetric dissimilarities

Aleix Alcacer, Rafael Benitez, Vicente J. Bolos +1

A recent methodology for extracting archetypal profiles from three-way asymmetric proximity data is applied to a dataset comprising 23 x 23 x 3 two-mode, three-way asymmetric dissi…

math.OC2025

A new family of models with generalized orientation in data envelopment analysis

V. J. Bolos, R Benitez, V. Coll-Serrano

In the framework of data envelopment analysis, we review directional models \citep{Chambers1996, Chambers1998, Briec1997} and show that they are inadequate when inputs and outputs…

stat.ME2025

Multidimensional scaling of two-mode three-way asymmetric dissimilarities: finding archetypal profiles and clustering

Mireia Mollar-Gumbau, Aleix Alcacer, Rafael Benitez +2

Multidimensional scaling visualizes dissimilarities among objects and reduces data dimensionality. While many methods address symmetric proximity data, asymmetric and especially th…

econ.EM2025

Conventional and Fuzzy Data Envelopment Analysis with deaR

Vicente J. Bolos, Rafael Benitez, Vicente Coll-Serrano

deaR is a recently developed R package for data envelopment analysis (DEA) that implements a large number of conventional and fuzzy models, along with super-efficiency models, cros…