Listar UJI: Investigación por fuente "Stochastic Environmental Research and Risk Assessment (2022)"

Mostrando ítems 1-2 de 2

    • openAccess   A Bayesian machine learning approach for spatio-temporal prediction of COVID-19 cases 

      Niraula, Poshan; Mateu, Jorge; Chaudhuri, Somnath Springer (2022)
      Modeling the spread of infectious diseases in space and time needs to take care of complex dependencies and uncertainties. Machine learning methods, and neural networks, in particular, are useful in modeling this sort of ...

    • openAccess   A stochastic Bayesian bootstrapping model for COVID-19 data 

      Calatayud, Julia; Jornet, Marc; Mateu, Jorge Springer (2022-01-11)
      We provide a stochastic modeling framework for the incidence of COVID-19 in Castilla-Leon (Spain) for the period March 1, 2020 to February 12, 2021, which encompasses four waves. Each wave is appropriately described by a ...