Research Lines

TRADUCIR

  • Statistical and machine learning with functional data:  dimension reduction (principal component (PCA) and independent component analysis (FICA), functional regression (scalar-on-function, function-on-function, regresión PLS, functional ANOVA, logit regression), curve classification, cluster analysis, random forests.

  • System Reliability.

  • Statistical Models in Bibliometrics.

  • Count Models with Random Intensity.

  • Development of Computational Tools.

  • Applications in various fields such as chemometrics, biomechanics, neuroscience, electronics, industry, and economics, among others.