Alejandra Cabaña                                                        acn


NEWS: Enrique Cabaña, Doctor Honoris Causa por la Universidad de la República. (video)

Studies:
  • Lic. Matemáticas. Universidad Simón Bolívar, Caracas, Venezuela, 1985.
  • M.Cs. Matemáticas. Universidad Simón Bolívar, 1987.
  • Dr. en Ciencias, mención Matemáticas. Universidad Central de Venezuela, 1993.

  • Address:
    Professora Titular del  Departament de Matemàtiques
    Facultat de Ciències
    Universitat Autònoma de Barcelona
    E-08193 Cerdanyola (Barcelona)


    Formerly, Profesora Titular at Departamento de estadística e I.O., Universidad de Valladolid,
    and  Visiting Professor at Departamet d´Economía i Empresa, Universitat Pompeu Fabra, Barcelona,
    researcher at  Departamento de Matemáticas , Instituto Venezolano de Investigaciones Científicas,
    professor at  Postgrado en Modelos Aleatorios  in  IVIC-UCV,
    professor at  Departamento de Matemáticas  at Universidad Simón Bolívar, in Caracas, Venezuela, 

    Coordinació del Grau d' Estadística Aplicada:

    GEA- UAB

    Jornada de Portes Obertes UAB 2018

    El GEA a Facebook


     Docencia/ Teaching:

    Mathematics for Big Data  Master in Modelling for Science and Engineering

    Investigación/ Research:
    Transformed Empirical Processes TEPs ( PETs ), Nonparametric Statistics, INAR models.
    Advanced Stochastical Modelling Group

    Publicaciones / Publications

    Presentaciones en congresos/ Congresses


    If I were a Springer-Verlag Graduate Text in Mathematics, I would be J.L. Doob's Measure Theory.

    I am different from other books on measure theory in that I accept probability theory as an essential part of measure theory. This means that many examples are taken from probability; that probabilistic concepts such as independence, Markov processes, and conditional expectations are integrated into me rather than being relegated to an appendix; that more attention is paid to the role of algebras than is customary; and that the metric defining the distance between sets as the measure of their symmetric difference is exploited more than is customary.

    Which Springer GTM would you be? The Springer GTM Test