Study Separates Weight and Likelihood Tail Effects in Bayesian Neural Groundwater Inversion
An arXiv paper examines groundwater inversion built on Gaussian assumptions for network weights and output errors, analyzing how weight and likelihood tail effects can be separated.
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- 2026-11-04 05:00 · arXiv stat.ML
Separating Weight and Likelihood Tail Effects in Bayesian Neural Groundwater Inversion