2 papers
stat.ME2025
Nonstationary Spatial Process Models with Spatially Varying Covariance Kernels
Sébastien Coube-Sisqueille, Sudipto Banerjee, Benoît Liquet
Building spatial process models that capture nonstationary behavior while delivering computationally efficient inference is challenging. Nonstationary spatially varying kernels (se…
stat.ME2025
Gridding and Parameter Expansion for Scalable Latent Gaussian Models of Spatial Multivariate Data
Michele Peruzzi, Sudipto Banerjee, David B. Dunson +1
Scalable spatial GPs for massive datasets can be built via sparse Directed Acyclic Graphs (DAGs) where a small number of directed edges is sufficient to flexibly characterize spati…