Showing stat.MEShow all
2 papers · 1 filter
stat.ME2026
Fast Stochastic Nearest Neighbor Pairwise Composite Likelihood for Massive Spatial Datasets
Moreno Bevilacqua, Francisco Cuevas-Pacheco, Christian Caamaño-Carrillo
Weighted pairwise composite likelihoods based on nearest-neighbor (NN) pairs provide a scalable alternative to full likelihood inference for spatial random fields, but can remain e…
stat.ME2026
Kriging for large datasets via penalized neighbor selection
Francisco Cuevas-Pacheco, Jonathan Acosta
Kriging is a fundamental tool for spatial prediction, but its computational complexity of becomes prohibitive for large datasets. While local kriging using -nearest nei…