Now showing items 1-4 of 4

    • Compositional random data: a routine for CoDaPack 

      Comas Cufí, Marc; Mateu Figueras, G.; Thió Fernández de Henestrosa, Santiago (CIMNE, 2011)
      Conference report
      Open Access
      Generation of random variables are needed in the simulations of many natural process. For some random variables, di erent methodologies are known, specially into euclidean spaces. In this paper a routine for dealing with ...
    • Log-ratio methods in mixture models for compositional data sets 

      Comas Cufí, Marc; Martín-Fernández, Josep Antoni; Mateu-Figueras, Glòria (Institut d'Estadística de Catalunya, 2016-12-19)
      Article
      Open Access
      When traditional methods are applied to compositional data misleading and incoherent results could be obtained. Finite mixtures of multivariate distributions are becoming increasingly important nowadays. In this paper, ...
    • Modelling count data using the logratio-normal-multinomial distribution 

      Comas Cufí, Marc; Martín-Fernández, Josep Antoni; Mateu-Figueras, Glòria; Palarea-Albaladejo, Javier (Institut d'Estadística de Catalunya, 2020-06-26)
      Article
      Open Access
      The logratio-normal-multinomial distribution is a count data model resulting from compounding a multinomial distribution for the counts with a multivariate logratio-normal distribution for the multinomial event probabilities. ...
    • Vertex fusion under diameter constraints 

      Comas Cufí, Marc; Serna Iglesias, María José (2007-06)
      Research report
      Open Access
      Given a graph $G$=($V$,$E$), a positive integer $k$ and a positive integer $d$, we want find a subset $V_k$ with $k$ vertices such the graph obtained by identifying the vertices from $V_k$ in $G$ has diameter at most $d$. ...