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Probabilistic lowermost mantle P-wave tomography from hierarchical Hamiltonian Monte Carlo and model parametrization cross-validation

Muir, Jack B.; Tkalčić, Hrvoje


Bayesian methods, powered by Markov Chain Monte Carlo estimates of posterior densities, have become a cornerstone of geophysical inverse theory. These methods have special relevance to the deep Earth, where data are sparse and uncertainties are large. We present a strategy for efficiently solving hierarchical Bayesian geophysical inverse problems for fixed parametrizations using Hamiltonian Monte Carlo sampling, and highlight an effective methodology for determining optimal parametrizations...[Show more]

CollectionsANU Research Publications
Date published: 2020-09-15
Type: Journal article
Source: Geophysical Journal International
DOI: 10.1093/gji/ggaa397
Access Rights: Open Access


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