• openAccess   A data-driven classification of 3D foot types by archetypal shapes based on landmarks 

      Alcacer Sales, Aleix; Epifanio, Irene; Ibáñez Gual, Maria Victoria; Simó, Amelia; Ballester, Alfredo Costin Daniel Untaroiu (Virginia Tech, USA) (2020-01-30)
      The taxonomy of foot shapes or other parts of the body is important, especially for design purposes. We propose a methodology based on archetypoid analysis (ADA) that overcomes the weaknesses of previous methodologies used ...
    • openAccess   A Gaussian kernel for Kendall’s space of m-D shapes 

      Gimeno i Garcia, Vicent; Gual-Arnau, Ximo; Ibáñez Gual, Maria Victoria; Simó, Amelia Elsevier ScienceDirect (2023-08-15)
      In this paper, we develop an approach to exploit kernel methods with data lying on the m-D Kendall shape space. When data arise in a finite-dimensional curved Riemannian manifold, as in this case, the usual Euclidean ...
    • openAccess   A review of spatiotemporal models for count data in R packages. A case study of COVID-19 data 

      Ibáñez Gual, Maria Victoria; Martínez Garcia, marina; Simó, Amelia MDPI (2021-07-01)
      Spatiotemporal models for count data are required in a wide range of scientific fields, and they have become particularly crucial today because of their ability to analyze COVID-19- related data. The main objective of this ...
    • openAccess   Apparel sizing using trimmed PAM and OWA operators 

      Ibáñez Gual, Maria Victoria; Epifanio, Irene; Simó, Amelia; Vinué Visús, Guillermo; Alemany Mut, Sandra; Domingo Esteve, Juan de Mata; Ayala Gallego, Guillermo Elsevier (2012-09)
      This paper is concerned with apparel sizing system design. One of the most important issues in the apparel development process is to define a sizing system that provides a good fit to the majority of the population. A ...
    • openAccess   Archetypal analysis with missing data: see all samples by looking at a few based on extreme profiles 

      Epifanio, Irene; Ibáñez Gual, Maria Victoria; Simó, Amelia American Statistical Association (2019-05-13)
      In this paper we propose several methodologies for handling missing or incomplete data in Archetype analysis (AA) and Archetypoid analysis (ADA). AA seeks to find archetypes, which are convex combinations of data points, ...
    • 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 ...
    • closedAccess   Consumer behaviour and environmental education in the field of waste electrical and electronic toys: A Spanish case study 

      Pérez-Belis, Victoria; Bovea, María D; Simó, Amelia Elsevier (2015-02)
      This paper reports on a project focused on obtaining the current consumption and disposal habits of electrical and electronic toys from a survey aimed at parents of children of nine pre- and primary schools. In addition, ...
    • openAccess   Generalized Linear Models for Geometrical Current predictors. An application to predict garment fit 

      Barahona-Albiol, Sònia; Centella, P.; Gual-Arnau, Ximo; Ibáñez Gual, Maria Victoria; Simó, Amelia SAGE Publications (2019)
      The aim of this paper is to model an ordinal response variable in terms of vector-valued functional data included on a vector-valued RKHS. In particular, we focus on the vector-valued RKHS obtained when a geometrical ...
    • 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 ...
    • closedAccess   Inhomogeneous K-function for germ–grain models 

      Gallego, María Ángeles; Ibáñez Gual, Maria Victoria; Simó, Amelia Elsevier (2016)
      In this paper, we propose the definition of the inhomogeneous K-function for germ–grain models, based on the reduced second order measure for general random sets. In general, grains in a germ–grain model can overlap, ...
    • closedAccess   Intrinsic sample mean in the space of planar shapes 

      Flores-Compañ, María-Jesús; Gual-Arnau, Ximo; Ibáñez Gual, Maria Victoria; Simó, Amelia Elsevier (2016-12)
      In this paper we consider the shape space as the set of smooth simple closed curves in R2R2 (parameterized curves), modulo translations, rotations and scale changes. An algorithm to obtain the intrinsic average of a sample ...
    • closedAccess   Modeling of female human body shapes for apparel design based on cross mean sets 

      Domingo Esteve, Juan de Mata; Ibáñez Gual, Maria Victoria; Simó, Amelia; Dura, Esther; Ayala Gallego, Guillermo; Alemany Mut, Sandra Elsevier (2014)
      This paper is concerned with a method to build prototypes of human bodies that can be used for apparel design. One of the most important issues in the apparel development process is to define a sizing system to provide a ...
    • closedAccess   Modelling municipal waste separation rates using generalized linear models and beta regression 

      Ibáñez Gual, Maria Victoria; Prades Martí, Míriam; Simó, Amelia Elsevier (2011)
      Most cities are actually very concerned about the economic viability of waste management and also about the impact they may have on the environment. Economical, social and cultural factors in the population will determine ...
    • openAccess   Non-homogeneous temporal Boolean models to study endocytosis 

      Ibáñez Gual, Maria Victoria; Simó, Amelia; Gallego, María Ángeles Elsevier (2012)
      Many medical and biological problems require the analysis of large sequences of microscope images, these images capture phenomena of interest and it is essential to characterize their spatial and temporal properties. The ...
    • openAccess   On using Reproducing Kernel Hilbert Spaces for the analysis of Replicated Spatial Point Processes 

      Simó, Amelia Elsevier (2023)
      This paper focuses on the use of the theory of Reproducing Kernel Hilbert Spaces in the statistical analysis of replicated point processes. We show that spatial point processes can be observed as random variables in a ...
    • openAccess   Parameter estimation in non-homogeneous boolean models: an application to plant defense response 

      Gallego, María Ángeles; Ibáñez Gual, Maria Victoria; Simó, Amelia International Society for Stereology (2014-09)
      Many medical and biological problems require to extract information from microscopical images. Boolean models have been extensively used to analyze binary images of random clumps in many scientific fields. In this paper, ...
    • closedAccess   The k -means algorithm for 3D shapes with an application to apparel design 

      Vinué Visús, Guillermo; Simó, Amelia; Alemany Mut, Sandra Springer (2014-10-17)
      Clustering of objects according to shapes is of key importance in many scientific fields. In this paper we focus on the case where the shape of an object is represented by a configuration matrix of landmarks. It is well ...
    • closedAccess   Towards a mean body for apparel design 

      Domingo Esteve, Juan de Mata; Simó, Amelia; Ibáñez Gual, Maria Victoria; Dura, Esther; Ayala Gallego, Guillermo; Alemany Mut, Sandra Elsevier (2016-08)
      This paper focuses on shape average with applications to the apparel industry. Apparel industry uses a consensus sizing system; its major concern is to fit most of the population into it. Since anthropometric measures ...
    • 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 ...