3 papers
stat.AP2026
Filling survey gaps in food security monitoring with spatio-temporal additive Gaussian process models
Emma Kopp, Sahoko Ishida, Rebecca Leygonie +1
Ensuring food security across all regions of a country requires continuous monitoring, yet household surveys often leave significant spatio-temporal gaps due to resource constraint…
stat.ME2026
Dynamic sparse graphs with overlapping communities
Xenia Miscouridou, Francesca Panero, Antreas Laos
Dynamic community detection concerns inferring how community memberships evolve over time, including the emergence, persistence, merging, and dissolution of groups in temporal netw…
stat.ME2025
Hierarchical additive interaction modelling with Gaussian process prior and its efficient implementation for multidimensional grid data
Sahoko Ishida, Francesca Panero, Wicher Bergsma
Additive Gaussian process (GP) models offer flexible tools for modelling complex non-linear relationships and interaction effects among covariates. While most studies have focused…