8 citations · 8 across the 2 of their papers we have counts for
2 papers
stat.AP2020
A Bayesian - Deep Learning model for estimating Covid-19 evolution in Spain
Stefano Cabras
This work proposes a semi-parametric approach to estimate Covid-19 (SARS-CoV-2) evolution in Spain. Considering the sequences of 14 days cumulative incidence of all Spanish regions…
math.ST2015★ 8 cited
Approximate Bayesian Computation by Modelling Summary Statistics in a Quasi-likelihood Framework
Stefano Cabras, Maria Eugenia Castellanos Nueda, Erlis Ruli
Approximate Bayesian Computation (ABC) is a useful class of methods for Bayesian inference when the likelihood function is computationally intractable. In practice, the basic ABC a…