Separating Weight and Likelihood Tail Effects in Bayesian Neural Groundwater Inversion
arXiv:2611.03669v1 Announce Type: cross Abstract: Groundwater inversion is commonly built on Gaussian assumptions for both network weights and output errors. The assumptions are convenient, but it is unclear which one should be relaxed when hydraulic conductivity is heavy tailed. Here, Gaussian and…
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- 2026-11-04 05:00 · arXiv stat.ML
Separating Weight and Likelihood Tail Effects in Bayesian Neural Groundwater Inversion