Predicting Covariate-Driven Spatial Deformation for Nonstationary Gaussian Processes
arXiv:2604.27280v1 Announce Type: new
Abstract: Nonstationary Gaussian processes (GPs) are essential for modeling complex, locally heterogeneous spatial data. A common modeling approach is the spatial deformation method that warps the domain to recove…