• Analysing musical performance through functional data analysis: rhythmic structure in Schumann's Träumerei 

    Almansa, J; Delicado Useros, Pedro Francisco (2009-01)
    Artículo
    Acceso abierto
    Functional data analysis (FDA) is a relatively new branch of statistics devoted to describing and modelling data that are complete functions. Many relevant aspects of musical performance and perception can be understood ...
  • Another look at principal curves and surfaces 

    Delicado Useros, Pedro Francisco (2001-03)
    Artículo
    Acceso abierto
    Principal curves have been defined as smooth curves passing through the “middle” of a multidimensional data set. They are nonlinear generalizations of the first principal component, a characterization of which is the basis ...
  • Choosing the most relevant level sets for depicting a sample of densities 

    Delicado Useros, Pedro Francisco; Vieu, Philippe (2017-09-01)
    Artículo
    Acceso abierto
    When exploring a sample composed with a set of bivariate density functions, the question of the visualisation of the data has to front with the choice of the relevant level set(s). The approach proposed in this paper ...
  • Cokriging and multivariate kriging methods based on data of a functional random field 

    Giraldo, Ramon; Delicado Useros, Pedro Francisco; Mateu Mahiques, Jorge (2017-12-23)
    Artículo
    Acceso abierto
    Kriging and cokriging and their several related versions are techniques widely known and used in spatial data analysis. However, when the spatial data are functions a bridge between functional data analysis and geostatistics ...
  • Confidence intervals for median survival time with recurrent event data 

    González Ruíz, Juan Ramón; Peña, Edesl A.; Delicado Useros, Pedro Francisco (2010-01)
    Artículo
    Acceso restringido por política de la editorial
    Several methods of constructing confidence intervals for the median survival time of a recurrent event data are developed. One of them is based on asymptotic variances estimated using some transformations. Others are based ...
  • Continuous time-varying kriging for spatial prediction of functional data: An environmental application 

    Giraldo, Ramón; Delicado Useros, Pedro Francisco; Mateu, Jorge (2008-07-07)
    Artículo
    Acceso abierto
    Spatially correlated functional data is present in a wide range of environmental disciplines and, in this context, efficient prediction of curves is a key issue. We present an approach for spatial prediction based on the ...
  • Dimensionality reduction for samples of bivariate density level sets: an application to electoral results 

    Delicado Useros, Pedro Francisco (Springer, 2017)
    Texto en actas de congreso
    Acceso abierto
    A bivariate densities can be represented as a density level set containing a fixed amount of probability (0.75, for instance). Then a functional dataset where the observations are bivariate density functions can be analyzed ...
  • Dimensionality reduction when data are density functions 

    Delicado Useros, Pedro Francisco (2011-01-01)
    Artículo
    Acceso restringido por política de la editorial
    Functional Data Analysis deals with samples where a whole function is observed for each individual. A relevant case of FDA is when the observed functions are density functions. Among the particular characteristics of ...
  • Discussion of “Analysis of spatio-temporal mobile phone data: a case study in the metropolitan area of Milan” by Piercesare Secchi, Simone Vantini and Valeria Vitelli 

    Delicado Useros, Pedro Francisco (2015-05-21)
    Artículo
    Acceso abierto
    The paper under discussion is a very well-written and interesting piece of work by Secchi et al. (2015) dealing with spatio-temporal data on mobile phone use in the area of Milan. I congratulate the authors for such a ...
  • Distance-based LISA maps for multivariate lattice data 

    Delicado Useros, Pedro Francisco; Broner, Sonia Judith (2008-12-01)
    Artículo
    Acceso abierto
    In the context of areal data (a particular case of data with spatial dependence) we propose an algorithm to define spatial clusters. Our proposal is based on distance between the characteristics observed in different ...
  • Distance-based local linear regression for functional predictors 

    Boj, E; Delicado Useros, Pedro Francisco; Fortiana, Josep (2010-02)
    Artículo
    Acceso restringido por política de la editorial
    The problem of nonparametrically predicting a scalar response variable from a functional predictor is considered. A sample of pairs (functional predictor and response) is observed. When predicting the response for a new ...
  • Geostatistics for functional data: an ordinary kriging approach 

    Giraldo, Ramón; Delicado Useros, Pedro Francisco; Mateu, Jorge (2007-06-11)
    Artículo
    Acceso abierto
    We present a methodology to perform spatial prediction when measured data are curves. In particular, we propose both an estimator of the spatial correlation and a functional kriging predictor. We adapt an optimization ...
  • Global and local distance-based generalized linear models 

    Boj, Eva; Caballé, Adrià; Delicado Useros, Pedro Francisco; Esteve, Anna; Fortiana, Josep (2016-03)
    Artículo
    Acceso abierto
    This paper introduces local distance-based generalized linear models. These models extend (weighted) distance-based linear models first to the generalized linear model framework. Then, a nonparametric version of these ...
  • Local likelihood density estimation based on smooth truncation 

    Delicado Useros, Pedro Francisco (2006-06)
    Artículo
    Acceso abierto
    Two existing density estimators based on local likelihood have properties that are comparable to those of local likelihood regression but they are much less used than their counterparts in regression. We consider ...
  • Measuring non-linear dependence for two random variables distributed along a curve 

    Delicado Useros, Pedro Francisco; Marcelo, Smrekar (2009-09)
    Artículo
    Acceso abierto
    We propose new dependence measures for two real random variables not necessarily linearly related. Covariance and linear correlation are expressed in terms of principal components and are generalized for variables distributed ...
  • Optimal level sets for bivariate density representation 

    Delicado Useros, Pedro Francisco; Vieu, Philippe (2015-09-01)
    Artículo
    Acceso abierto
    In bivariate density representation there is an extensive literature on level set estimation when the level is fixed, but this is not so much the case when choosing which level is (or which levels are) of most interest. ...
  • Optimal level sets for representing a bivariate density function 

    Delicado Useros, Pedro Francisco; Vieu, Philippe (2014)
    Texto en actas de congreso
    Acceso abierto
    We deal with the problem of representing a bivariate density function by level sets. The choice of which levels are used in this representation are commonly arbitrary (most usual choices being those with probability ...
  • Ordinary kriging for function-valued spatial data 

    Giraldo, R.; Delicado Useros, Pedro Francisco; Mateu, J. (2010-05-19)
    Artículo
    Acceso restringido por política de la editorial
    In various scientific fields properties are represented by functions varying over space. In this paper, we present a methodology to make spatial predictions at non-data locations when the data values are functions. In ...
  • Padrino de la promoción 2012 de los estudios de estadística 

    Delicado Useros, Pedro Francisco (2012-11-16)
    Audiovisual
    Acceso abierto
  • Statistics for spatial functional data 

    Delicado Useros, Pedro Francisco; Giraldo, Ramón; Comas, Carles; Mateu, Jorge (2008-12)
    Report de recerca
    Acceso abierto
    Functional Data Analysis is a relatively new branch in Statistics. Experiments where a complete function is observed for each individual give rise to functional data. In this work we focus on the case of functional data ...