Bayesian Geophysical Inversion using Stein Mixture Variational Inference for Multimodal or Complex Solutions

Bayesian geophysical inversion provides a probabilistic framework to estimate subsurface properties, in which uncertainties are represented by a so-called posterior probability density function (pdf). Estimating this pdf is computationally challenging when it is high dimensional or complex, particul