Now showing items 1-4 of 4

    • openAccess   A kernel regression procedure in the 3D shape space with an application to online sales of children's wear 

      Quintana-Ortí, Gregorio; Simó, Amelia Institute of Mathematical Statistics (IMS) (2019)
      Shape regression is of key importance in many scienti c elds. In this paper, we focus on the case where the shape of an object is represented by a con- guration matrix of landmarks. It is well known that this shape ...
    • openAccess   Archetypal shapes based on landmarks and extension to handle missing data 

      Epifanio, Irene; Ibáñez Gual, Maria Victoria; Simó, Amelia Springer Verlag (2017-10)
      Archetype and archetypoid analysis are extended to shapes. The objective is to find representative shapes. Archetypal shapes are pure (extreme) shapes. We focus on the case where the shape of an object is represented by a ...
    • openAccess   Generalized partially linear models on Riemannian manifolds 

      Simó, Amelia; Ibáñez Gual, Maria Victoria; Epifanio, Irene; Gimeno, Vicent Royal Statistical Society (2020-05-03)
      We introduce generalized partially linear models with covariates on Riemannian manifolds. These models, like ordinary generalized linear models, are a generalization of partially linear models on Riemannian manifolds that ...
    • openAccess   Unsupervised classification of children’s bodies using currents 

      Barahona, S.; Gual-Arnau, Ximo; Ibáñez Gual, Maria Victoria; Simó, Amelia Springer Verlag (2018-06)
      Object classification according to their shape and size is of key importance in many scientific fields. This work focuses on the case where the size and shape of an object is characterized by a current. A current is a ...