Advances in Trans-dimensional Geophysical Inference
Hawkins, Rhys Peter
This research presents a series of novel Bayesian
methods for geophysical inversion. A first example illustrates
Bayesian prior information obtained from theory and numerical
experiments can be used to better inform a difficult
multi-modal inversion of dispersion information from empirical
functions obtained from ambient noise cross-correlation. This
is an extension of existing partition modeling schemes.
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