54 citations · 156 across the 13 of their papers we have counts for
14 papers
A Bayesian One-Sample Test for the Mean of Functional Data
José R. Berrendero, Antonio Coín, Antonio Cuevas
In the context of functional data analysis, we propose a Bayesian test to assess whether the mean function of a Gaussian population is identically zero. By leveraging the structure…
Kernel K-means clustering of distributional data
Amparo Baíllo, Jose R. Berrendero, Martín Sánchez-Signorini
We consider the problem of clustering a sample of probability distributions from a random distribution on . Our proposed partitioning method makes use of a symmetric,…
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
Partial least squares (PLS) is a dimensionality reduction technique introduced in the field of chemometrics and successfully employed in many other areas. The PLS components are ob…
A Bayesian approach to functional regression: theory and computation
José R. Berrendero, Antonio Coín, Antonio Cuevas
We propose a novel Bayesian methodology for inference in functional linear and logistic regression models based on the theory of reproducing kernel Hilbert spaces (RKHS's). We intr…
On a general definition of the functional linear model
José R. Berrendero, Alejandro Cholaquidis, Antonio Cuevas
A general formulation of the linear model with functional (random) explanatory variable , and scalar response Y is proposed. It includes the standard functional…
On functional logistic regression: some conceptual issues
Beatriz Bueno-Larraz, José R. Berrendero, Antonio Cuevas
The main ideas behind the classical multivariate logistic regression model make sense when translated to the functional setting, where the explanatory variable is a function an…