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stat.ME2025
Sampled Grid Pairwise Likelihood (SG-PL): An Efficient Approach for Spatial Regression on Large Data
Giuseppe Arbia, Vincenzo Nardelli, Niccolo Salvini
Estimating spatial regression models on large, irregularly structured datasets poses significant computational hurdles. While Pairwise Likelihood (PL) methods offer a pathway to si…
stat.ME2024
On Spatio-Temporal Stochastic Frontier Models
Elisa Fusco, Giuseppe Arbia, Francesco Vidoli +1
In the literature on stochastic frontier models until the early 2000s, the joint consideration of spatial and temporal dimensions was often inadequately addressed, if not completel…
stat.ME2024
Detecting Spatial Outliers: the Role of the Local Influence Function
Giuseppe Arbia, Vincenzo Nardelli
In the analysis of large spatial datasets, identifying and treating spatial outliers is essential for accurately interpreting geographical phenomena. While spatial correlation meas…