机译:Uncertainty quantification and atmospheric source estimation with a discrepancy-based and a state-dependent adaptative MCMC
Univ Estado Rio De Janeiro, Polytech Inst, BR-28625570 Nova Friburgo, Brazil;
Univ Fed Santa Catarina, Dept Math, Campus Trindade, BR-88040900 Florianopolis, SC, Brazil;
Univ Estado Rio De Janeiro, Polytech Inst, BR-28625570 Nova Friburgo, Brazil|Univ Fed Rio de Janeiro, Inst Math, Rio De Janeiro, Brazil;
Source estimation; Uncertainty quantification; Atmospheric dispersion; MCMC algorithms; Metropolis in Gibbs Sampler;