Now showing items 1-4 of 4

    • A characterization of the innovations of first order autoregressive models 

      Moriña, David; Puig, Pedro; Valero Baya, Jordi (2015-02-01)
      Article
      Restricted access - publisher's policy
      Suppose that follows a simple AR(1) model, that is, it can be expressed as , where is a white noise with mean equal to and variance . There are many examples in practice where these assumptions hold very well. Consider . ...
    • Cumulated burden of Covid-19 in Spain from a Bayesian perspective 

      Moriña, David; Fernandez Fontelo, Amanda; Cabaña Nigro, Ana Alejandra; Arratia Quesada, Argimiro Alejandro; Ávalos Villaseñor, Gustavo Eduardo; Puig, Pedro (2021-06-28)
      Article
      Open Access
      Background The main goal of this work is to estimate the actual number of cases of Covid-19 in Spain in the period 01-31-2020/06-01-2020 by Autonomous Communities. Based on these estimates, this work allows us to accurately ...
    • Estimating the real burden of disease under a pandemic situation: the SARS-CoV2 case 

      Fernandez Fontelo, Amanda; Moriña, David; Cabaña Nigro, Ana Alejandra; Arratia Quesada, Argimiro Alejandro; Puig, Pedro (Public Library of Science (PLOS), 2020-12-03)
      Article
      Open Access
      The present paper introduces a new model used to study and analyse the severe acute respiratory syndrome coronavirus 2 (SARS-CoV2) epidemic-reported-data from Spain. This is a Hidden Markov Model whose hidden layer is a ...
    • SARS-CoV-2 transmission in students of public schools of Catalonia (Spain) after a month of reopening 

      Llupià, Anna; Borràs Santos, Alícia; Utzet Sadurní, Mireia; Guinovart Florensa, Caterina; Moriña, David; Puig Sadurní, Joaquim (Public Library of Science (PLOS), 2021-05-12)
      Article
      Open Access
      SARS-CoV-2 transmission within schools and its contribution to community transmission are still a matter of debate. Methods A retrospective cohort study in all public schools in Catalonia was conducted using publicly ...