Search Results for author: Michela Cameletti

Found 2 papers, 1 papers with code

A path in regression Random Forest looking for spatial dependence: a taxonomy and a systematic review

no code implementations8 Mar 2023 Luca Patelli, Michela Cameletti, Natalia Golini, Rosaria Ignaccolo

Moreover, we provide a systematic review and classify the most recent strategies adopted to "adjust" regression RF to spatially dependent data, based on the criteria provided by the Preferred Reporting Items for Systematic reviews and Meta-Analysis (PRISMA).

regression

A joint bayesian space-time model to integrate spatially misaligned air pollution data in R-INLA

2 code implementations16 Jun 2020 Chiara Forlani, Samir Bhatt, Michela Cameletti, Elias Krainski, Marta Blangiardo

Unlike other examples, we jointly model the response (concentration level at monitoring stations) and the dispersion model outputs on different scales, accounting for the different sources of uncertainty.

Applications

Cannot find the paper you are looking for? You can Submit a new open access paper.