37 citations · 114 across the 12 of their papers we have counts for
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stat.AP2023★ 2 cited
Spatiotemporal modelling of PM concentrations in Lombardy (Italy) -- A comparative study
Philipp Otto, Alessandro Fusta Moro, Jacopo Rodeschini +7
This study presents a comparative analysis of three predictive models with an increasing degree of flexibility: hidden dynamic geostatistical models (HDGM), generalised additive mi…
stat.ML2023★ 1 cited
A path in regression Random Forest looking for spatial dependence: a taxonomy and a systematic review
Luca Patelli, Michela Cameletti, Natalia Golini +1
Random Forest (RF) is a well-known data-driven algorithm applied in several fields thanks to its flexibility in modeling the relationship between the response variable and the pred…