Time series clustering based on forecast densities. - Andrés M. Alonso; José R. Berrendero; Adolfo Hernández; Ana Justel (Comput. Stat. Data Anal., 2006)

Tests for zero-inflation and overdispersion: A new approach based on the stochastic convex order. - Amparo Baíllo; José R. Berrendero; Javier Cárcamo (Comput. Stat. Data Anal., 2009)

Principal components for multivariate functional data. - José R. Berrendero; Ana Justel; Marcela Svarc (Comput. Stat. Data Anal., 2011)

A multivariate uniformity test for the case of unknown support. - José R. Berrendero; Antonio Cuevas; Beatriz Pateiro-López (Stat. Comput., 2012)

Functional Data Analysis: A step forward in Network Management. - David Muelas; Jorge E. López de Vergara; José R. Berrendero (IM, 2015)

Shape classification based on interpoint distance distributions. - José R. Berrendero; Antonio Cuevas; Beatriz Pateiro-López (J. Multivar. Anal., 2016)

Facing Network Management Challenges with Functional Data Analysis: Techniques & Opportunities. - David Muelas; Jorge E. López de Vergara; José R. Berrendero; Javier Ramos 002; Javier Aracil 001 (Mob. Networks Appl., 2017)

Linear components of quadratic classifiers. - José R. Berrendero; Javier Cárcamo (Adv. Data Anal. Classif., 2019)

An RKHS model for variable selection in functional linear regression. - José R. Berrendero; Beatriz Bueno-Larraz; Antonio Cuevas (J. Multivar. Anal., 2019)

On Mahalanobis Distance in Functional Settings. - José R. Berrendero; Beatriz Bueno-Larraz; Antonio Cuevas (J. Mach. Learn. Res., 2020)

Relation between PLS and OLS regression in terms of the eigenvalue distribution of the regressor covariance matrix. - David del Val; José R. Berrendero; Alberto Suárez 001 (CoRR, 2023)