3 papers
stat.ME2026
Spatial prediction of environmental processes using random forests: How best to account for spatial dependence?
Duncan Lee, Vinny Davies, Helen R. Savage +3
Geostatistical spatial prediction for environmental processes is typically undertaken using Gaussian process models via Kriging, while machine learning (ML) algorithms are state-of…
stat.OT2026
Reflections on the Future of Statistics Education in a Technological Era
Craig Alexander, Jennifer Gaskell, Vinny Davies
Keeping pace with rapidly evolving technology is a key challenge in teaching statistics. To equip students with essential skills for the modern workplace, educators must integrate…
stat.ME2026
A spatial random forest algorithm for population-level epidemiological risk assessment
Duncan Lee, Vinny Davies
Spatial epidemiology identifies the drivers of elevated population-level disease risks, using disease counts, exposures and known confounders at the areal unit level. Poisson regre…