• openAccess   Combining Classification and User-Based Collaborative Filtering for Matching Footwear Size 

      Alcacer Sales, Aleix; Epifanio, Irene; Valero, Jorge; Ballester, Alfredo MDPI (2021)
      Size mismatch is a serious problem in online footwear purchase because size mismatch implies an almost sure return. Not only foot measurements are important in selecting a size, but also user preference. This is the ...
    • 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. ...