Geophysical imaging using trans-dimensional trees.
In geophysical inversion, inferences of Earth's properties from sparse data involve a trade-off between model complexity and the spatial resolving power. A recent Markov chain Monte Carlo (McMC) technique formalized by Green, the so-called trans-dimensional samplers, allows us to sample between these trade-offs and to parsimoniously arbitrate between the varying complexity of candidate models. Here we present a novel framework using trans-dimensional sampling over tree structures. This new...[Show more]
|Collections||ANU Research Publications|
|Source:||Geophysical Journal International|
|Access Rights:||Open Access|
|01_Hawkins_Geophysical_imaging_using_2015.pdf||5.36 MB||Adobe PDF|
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