3 citations · 3 across the 2 of their papers we have counts for
3 papers
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…
stat.ME2022★ 3 cited
Comparing two spatial variables with the probability of agreement
Jonathan Acosta, Ronny Vallejos, Aaron M. Ellison +2
Computing the agreement between two continuous sequences is of great interest in statistics when comparing two instruments or one instrument with a gold standard. The probability o…
stat.ME2018
Sensitivity of codispersion to noise and error in ecological and environmental data
Ronny Vallejos, Hannah L Buckley, Bradley S Case +2
Codispersion analysis is a new statistical method developed to assess spatial covariation between two spatial processes that may not be isotropic or stationary. Its application to…