21 citations · 42 across the 7 of their papers we have counts for
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stat.ME2024★ 1 cited
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…
stat.ME2024
Gibbs sampling for Bayesian P-splines
Oswaldo Gressani, Paul H. C. Eilers
P-splines provide a flexible setting for modeling nonlinear model components based on a discretized penalty structure with a relatively simple computational backbone. Under a Bayes…