11 citations · 11 across the 4 of their papers we have counts for
5 papers
A spatio-temporal analysis of NO concentrations during the Italian 2020 COVID-19 lockdown
Guido Fioravanti, Michela Cameletti, Sara Martino +2
When a new environmental policy or a specific intervention is taken in order to improve air quality, it is paramount to assess and quantify - in space and time - the effectiveness…
Integration of presence-only data from several sources. A case study on dolphins' spatial distribution
Sara Martino, Daniela Silvia Pace, Stefano Moro +8
Presence-only data are a typical occurrence in species distribution modeling. They include the presence locations and no information on the absence. Their modeling usually does not…
Importance Sampling with the Integrated Nested Laplace Approximation
Martin Outzen Berild, Sara Martino, Virgilio Gómez-Rubio +1
The Integrated Nested Laplace Approximation (INLA) is a deterministic approach to Bayesian inference on latent Gaussian models (LGMs) and focuses on fast and accurate approximation…
Spatio-temporal modelling of daily concentrations in Italy using the SPDE approach
Guido Fioravanti, Sara Martino, Michela Cameletti +1
This paper illustrates the main results of a spatio-temporal interpolation process of concentrations at daily resolution using a set of 410 monitoring sites, distr…
Integrated Nested Laplace Approximations (INLA)
Sara Martino, Andrea Riebler
This is a short description and basic introduction to the Integrated nested Laplace approximations (INLA) approach. INLA is a deterministic paradigm for Bayesian inference in laten…