2 papers
stat.ME2025
Distributed lag non-linear models with Laplacian-P-splines for analysis of spatially structured time series
Sara Rutten, Bryan Sumalinab, Oswaldo Gressani +4
Distributed lag non-linear models (DLNM) have gained popularity for modeling nonlinear lagged relationships between exposures and outcomes. When applied to spatially referenced dat…
stat.ME2024
A Low-Rank Bayesian Approach for Geoadditive Modeling
Bryan Sumalinab, Oswaldo Gressani, Niel Hens +1
Kriging is an established methodology for predicting spatial data in geostatistics. Current kriging techniques can handle linear dependencies on spatially referenced covariates. Al…