76 citations · 157 across the 11 of their papers we have counts for
11 papers
Statistical Modelling of Planetary Boundary Layer Height and Its Measurement Uncertainty Using GRUAN Profiles
Tommaso Locatelli, Alessandro Fasso, Fabio Madonna
The Planetary Boundary Layer (PBL) governs the exchange of energy and moisture and hosts the highest concentrations of pollutants before they mix into the free troposphere. The hei…
Multivariate Low-Rank State-Space Model with SPDE Approach for High-Dimensional Data
Jacopo Rodeschini, Lorenzo Tedesco, Francesco Finazzi +2
This paper proposes a novel low-rank approximation to the multivariate State-Space Model. The Stochastic Partial Differential Equation (SPDE) approach is applied component-wise to…
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…
Scenario analysis of livestock-related PM2.5 pollution based on a new heteroskedastic spatiotemporal model
Jacopo Rodeschini, Alessandro Fassò, Francesco Finazzi +1
The air in the Lombardy Plain, Italy, is one of the most polluted in Europe due to limited atmosphere circulation and high emission levels. There is broad scientific consensus that…
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…
D-STEM v2: A Software for Modelling Functional Spatio-Temporal Data
Yaqiong Wang, Francesco Finazzi, Alessandro Fassò
Functional spatio-temporal data naturally arise in many environmental and climate applications where data are collected in a three-dimensional space over time. The MATLAB D-STEM v1…
An anisotropic model for global climate data
Nil Venet, Alessandro Fassò
We present a new, elementary way to obtain axially symmetric Gaussian processes on the sphere, in order to accommodate for the directional anisotropy of global climate data in geos…
Statistical harmonization and uncertainty assessment in the comparison of satellite and radiosonde climate variables
Francesco Finazzi, Alessandro Fassò, Fabio Madonna +3
Satellite product validation is key to ensure the delivery of quality products for climate and weather applications. To do this, a fundamental step is the comparison with other ins…
A statistical approach to crowdsourced smartphone-based earthquake early warning systems
F. Finazzi, A. Fassò
The Earthquake Network research project implements a crowdsourced earthquake early warning system based on smartphones. Smartphones, which are made available by the global populati…