3 papers
stat.AP2026
Probabilistic forecasting of weather-driven faults in electricity networks: a flexible approach for extreme and non-extreme events
Mateus Maia, Daniela Castro-Camilo, Jethro Browell
Electricity networks are vulnerable to weather damage, with severe events often leading to faults and power outages. Timely forecasts of fault occurrences, ranging from nowcasts to…
econ.EM2025
Nonparametric regression for cost-effectiveness analyses with observational data -- a tutorial
Jonas Esser, Mateus Maia, Judith Bosmans +1
Healthcare decision-making often requires selecting among treatment options under budget constraints, particularly when one option is more effective but also more costly. Cost-effe…
stat.ME2025
Seemingly unrelated Bayesian additive regression trees for cost-effectiveness analyses in healthcare
Jonas Esser, Mateus Maia, Andrew C. Parnell +4
In recent years, theoretical results and simulation evidence have shown Bayesian additive regression trees to be a highly-effective method for nonparametric regression. Motivated b…