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Jacopo Rodeschini results 2 · Newest (Page 1/1, per page 25)
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Multivariate low-rank state–space model with SPDE approach for high-dimensional dataNARA Subscribed
Spatial Statistics · 2026 · Vol. 73 · Elsevier
Jacopo Rodeschini; Lorenzo Tedesco; Francesco Finazzi; Philipp Otto; Alessandro Fassò
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Spatiotemporal modelling of $$\hbox {PM}_{2.5}$$ concentrations in Lombardy (Italy): a comparative studyNARA Subscribed
Environmental and Ecological Statistics · 2024 · Vol. 31 · Issue 2 · Springer
Philipp Otto; Alessandro Fusta Moro; Jacopo Rodeschini; Qendrim Shaboviq; Rosaria Ignaccolo; Natalia Golini; Michela Cameletti; Paolo Maranzano; Francesco Finazzi; Alessandro Fassò
This study presents a comparative analysis of three predictive models with an increasing degree of flexibility: hidden dynamic geostatistical models (HDGM), generalised additive mixed models (GAMM), and the random forest spatiotemporal kriging models (RFSTK). These models are evaluated for their effectiveness in predicting $$\text {PM}_{2.5}$$ PM 2.5 concentrations in Lombardy (North Italy) from 2016 to 2020. Despite differing...
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