Bayesian seismic inversion with improved parallel tempering-based Markov chain Monte Carlo
Bayesian amplitude variation with angle (AVA) inversion provides a probabilistic way to estimate elastic parameters and quantify uncertainty, but conventional Metropolis–Hastings Markov chain Monte Carlo may mix slowly in multimodal posterior distributions. This study develops a nonlinear AVA inversion workflow combini...