30 citations · 57 across the 4 of their papers we have counts for
4 papers
Models for the assessment of treatment improvement: the ideal and the feasible
P. C. Álvarez-Esteban, E. del Barrio, J. A. Cuesta-Albertos +1
Comparisons of different treatments or production processes are the goals of a significant fraction of applied research. Unsurprisingly, two-sample problems play a main role in Sta…
Wide Consensus for Parallelized Inference
P. C. Álvarez-Esteban, E. del Barrio, J. A. Cuesta-Albertos +1
We develop a general theory to address a consensus-based combination of estimations in a parallelized or distributed estimation setting. Taking into account the possibility of very…
The DD-classifier in the functional setting
Juan A. Cuesta-Albertos, Manuel Febrero-Bande, Manuel Oviedo de la Fuente
The Maximum Depth was the first attempt to use data depths instead of multivariate raw data to construct a classification rule. Recently, the DD-classifier has solved several serio…
Supervised classification for a family of Gaussian functional models
Amparo Baíllo, Juan Antonio Cuesta-Albertos, Antonio Cuevas
In the framework of supervised classification (discrimination) for functional data, it is shown that the optimal classification rule can be explicitly obtained for a class of Gauss…