• openAccess   Archetypal contour shapes 

      Alcacer Sales, Aleix; Epifanio, Irene; Ibáñez Gual, Maria Victoria; Simó, Amelia Università di Cassino e del Lazio Meridionale. Centro Editoriale di Ateneo (2019)
      Shapes are represented by contour functions from planar object outlines. Functional archetypal analysis is proposed to describe closed contour shapes. Each contour function is approximated by a convex combination of ...
    • openAccess   Detecting and visualizing differences in brain structures with SPHARM and functional data analysis 

      Ferrando, Lara; Ventura Campos, Mercedes; Epifanio, Irene Elsevier (2020-08-07)
      A new procedure for classifying brain structures described by SPHARM is presented. We combine a dimension reduction technique (functional principal component analysis or functional independent component analysis) with ...
    • openAccess   Finding archetypal patterns for binary questionnaires 

      Cabero-Fayos, Ismael; Epifanio, Irene Institut d'Estadística de Catalunya (Idescat) (2020-01)
      Archetypal analysis is an exploratory tool that explains a set of observations as mixtures of pure (extreme) patterns. If the patterns are actual observations of the sample, we refer to them as archetypoids. For the first ...
    • openAccess   Forecasting basketball players’ performance using sparse functional data 

      Vinué Visús, Guillermo; Epifanio, Irene Wiley (2019-09)
      Statistics and analytic methods are becoming increasingly important in basketball. In particular, predicting players’ performance using past observations is a considerable challenge. The purpose of this study is to ...
    • openAccess   Robust archetypoids for anomaly detection in big functional data 

      Vinue, Guillermo; Epifanio, Irene Springer (2020-08-03)
      Archetypoid analysis (ADA) has proven to be a successful unsupervised statistical technique to identify extreme observations in the periphery of the data cloud, both in classical multivariate data and functional data. ...