2 papers
stat.CO2026
PoissonRatioUQ: An R package for band ratio uncertainty quantification
Matthew LeDuc, Tomoko Matsuo
We introduce an R package for Bayesian modeling and uncertainty quantification for problems involving count ratios. The modeling relies on the assumption that the quantity of inter…
stat.ME2025
Modeling Large Nonstationary Spatial Data with the Full-Scale Basis Graphical Lasso
Matthew LeDuc, William Kleiber, Tomoko Matsuo
We propose a new approach for the modeling large datasets of nonstationary spatial processes that combines a latent low rank process and a sparse covariance model. The low rank com…