1 citations · 1 across the 3 of their papers we have counts for
3 papers
Importance sampling for Bayesian inference: polynomial-dimension dependent error bounds
Fabián González, Víctor Elvira, Joaquín Míguez
Many Bayesian inference problems involve high-dimensional models where the performance of standard importance sampling (IS) methods often degrades rapidly as the dimensionality inc…
Nested importance sampling for Bayesian inference: error bounds and the role of dimension
Fabián González, Víctor Elvira, Joaquín Miguez
Many Bayesian inference problems involve high dimensional models for which only a subset of the model variables are of actual interest. All other variables are just nuisance parame…
Stable SIP Discontinuous Galerkin Approximations of the Hydrostatic Stokes Equations
F. Guillén González, M. V. Redondo Neble, J. R. Rodríguez Galván
We propose a Discontinuous Galerkin (DG) scheme for the numerical solution of the Hydrostatic Stokes equations in Oceanography. This new scheme is based on the introduction of the…