Spatial Bayesian Neural Networks

arXiv:2311.09491v2 Announce Type: replace-cross
Abstract: interpretable, and well understood models that are routinely employed even though, as is revealed through prior and posterior predictive checks, these can poorly characterise the spatial heterogeneity in the underlying process of interest. Here, we propose a new, flexible class of spatial-process models, which we refer to as spatial Bayesian neural networks (SBNNs). An SBNN leverages the representational capacity of a Bayesian neural network; it is tailored to a spatial setting by incorporating a spatial …

abstract arxiv bayesian checks class cs.lg networks neural networks posterior predictive prior process spatial stat.ml through type