Now showing items 1-20 of 27

  • A dynamic model of the proteins that form the initial iron-sulfur cluster biogenesis machinery in yeast mitochondria 

    Amela Abellán, Isaac; Delicado Useros, Pedro Francisco; Gómez, Antonio; Querol Murillo, Enrique; Cedano, J (2013-03)
    Article
    Restricted access - publisher's policy
    The assembly of iron-sulfur clusters (ISCs) in eukaryotes involves the protein Frataxin. Deficits in this protein have been associated with iron inside the mitochondria and impair ISC biogenesis as it is postulated to act ...
  • Analysing musical performance through functional data analysis: rhythmic structure in Schumann's Träumerei 

    Almansa, J; Delicado Useros, Pedro Francisco (2009-01)
    Article
    Open Access
    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)
    Article
    Open Access
    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)
    Article
    Open Access
    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)
    Article
    Open Access
    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)
    Article
    Restricted access - publisher's policy
    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)
    Article
    Open Access
    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 ...
  • Data-based decision rules about the convexity of the support of a distribution 

    Delicado Useros, Pedro Francisco; Hernández Huerta, Adolfo; Lugosi, Gabor (2014-01-01)
    Article
    Open Access
    Given n independent, identically distributed random vectors in R-d, drawn from a common density f, one wishes to find out whether the support of f is convex or not. In this paper we describe a decision rule which decides ...
  • Dimensionality reduction for samples of bivariate density level sets: an application to electoral results 

    Delicado Useros, Pedro Francisco (Springer, 2017)
    Conference report
    Open Access
    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)
    Article
    Restricted access - publisher's policy
    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)
    Article
    Open Access
    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)
    Article
    Open Access
    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)
    Article
    Restricted access - publisher's policy
    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 ...
  • DockAnalyse: an application for the analysis of protein-protein interactions 

    Amela Abellán, Isaac; Delicado Useros, Pedro Francisco; Gómez, Antonio; Bonas, Silvia; Querol, Enric; Cedano, J (2010-10-22)
    Article
    Open Access
    Is it possible to identify what the best solution of a docking program is? The usual answer to this question is the highest score solution, but interactions between proteins are dynamic processes, and many times the ...
  • Functional regression on remote sensing data in oceanography 

    Acar Denizli, Nihan; Delicado Useros, Pedro Francisco; Basarir, Gülay; Caballero de Frutos, Isabel (2018-06-01)
    Article
    Open Access
    The aim of this study is to propose the use of a functional data analysis approach as an alternative to the classical statistical methods most commonly used in oceanography and water quality management. In particular we ...
  • Geostatistics for functional data: an ordinary kriging approach 

    Giraldo, Ramón; Delicado Useros, Pedro Francisco; Mateu, Jorge (2007-06-11)
    Article
    Open Access
    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)
    Article
    Open Access
    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)
    Article
    Open Access
    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)
    Article
    Open Access
    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 ...
  • Modelling function-valued stochastic processes, with applications to fertility dynamics 

    Chen, Kehui; Delicado Useros, Pedro Francisco; Müller, Hans-Georg (2017)
    Article
    Open Access
    We introduce a simple and interpretable model for functional data analysis for situations where the observations at each location are functional rather than scalar. This new approach is based on a tensor product representation ...