Probabilistic lowermost mantle P-wave tomography from hierarchical Hamiltonian Monte Carlo and model parametrization cross-validation
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Muir, Jack B.; Tkalčić, Hrvoje
Description
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]
Collections | ANU Research Publications |
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Date published: | 2020-09-15 |
Type: | Journal article |
URI: | http://hdl.handle.net/1885/223270 |
Source: | Geophysical Journal International |
DOI: | 10.1093/gji/ggaa397 |
Access Rights: | Open Access |
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01_Muir_Probabilistic_lowermost_mantle_2020.pdf | 3.86 MB | Adobe PDF | ![]() |
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