37 citations · 91 across the 8 of their papers we have counts for
8 papers
A new framework for non-stationary spatio-temporal data fusion of multi-fidelity models
Pietro Colombo, Fabio Sigrist, Claire Miller +3
We propose a new scalable framework for spatio-temporal data fusion with multi-fidelity Gaussian processes (MFGPs) that enables fully likelihood-based inference for both stationary…
On the use of satellite information to estimate agricultural carbon footprint in a small area framework
Riccardo Pajno, Felicetta Carillo, Paolo Maranzano +2
The agricultural sector is undergoing rapid change due to climate pressures, demographic shifts, and uneven economic development, increasing the demand for reliable environmental i…
Spatiotemporal clustering of GHGs emissions in Europe: exploring the role of spatial component
Caterina Morelli, Paolo Maranzano, Philipp Otto
In this study, we propose a novel application of spatiotemporal clustering in the environmental sciences, with a particular focus on regionalised time series of greenhouse gases (G…
Multidimensional spatiotemporal clustering -- An application to environmental sustainability scores in Europe
Caterina Morelli, Simone Boccaletti, Paolo Maranzano +1
The assessment of corporate sustainability performance is extremely relevant in facilitating the transition to a green and low-carbon intensity economy. However, companies located…
A review of regularised estimation methods and cross-validation in spatiotemporal statistics
Philipp Otto, Alessandro Fassò, Paolo Maranzano
This review article focuses on regularised estimation procedures applicable to geostatistical and spatial econometric models. These methods are particularly relevant in the case of…
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…
Agrimonia: a dataset on livestock, meteorology and air quality in the Lombardy region, Italy
Alessandro Fassò, Jacopo Rodeschini, Alessandro Fusta Moro +7
The air in the Lombardy region, Italy, is one of the most polluted in Europe because of limited air circulation and high emission levels. There is a large scientific consensus that…
Adaptive LASSO estimation for functional hidden dynamic geostatistical model
Paolo Maranzano, Philipp Otto, Alessandro Fassò
We propose a novel model selection algorithm based on a penalized maximum likelihood estimator (PMLE) for functional hidden dynamic geostatistical models (f-HDGM). These models emp…