7 citations · 14 across the 3 of their papers we have counts for
3 papers
stat.AP2024★ 1 cited
Mapping climate change awareness through spatial hierarchical clustering
Gianpaolo Zammarchi, Paolo Maranzano
Climate change is a critical issue that will be in the political agenda for the next decades. While it is important for this topic to be discussed at higher levels, it is also of p…
stat.ME2024★ 7 cited
Spatially-clustered spatial autoregressive models with application to agricultural market concentration in Europe
Roy Cerqueti, Paolo Maranzano, Raffaele Mattera
In this paper, we present an extension of the spatially-clustered linear regression models, namely, the spatially-clustered spatial autoregression (SCSAR) model, to deal with spati…
stat.AP2022★ 6 cited
Spatio-temporal Event Studies for Air Quality Assessment under Cross-sectional Dependence
Paolo Maranzano, Matteo Maria Pelagatti
Event Studies (ES) are statistical tools that assess whether a particular event of interest has caused changes in the level of one or more relevant time series. We are interested i…