Transdimensional inversion of receiver functions and surface wave dispersion
We present a novel method for joint inversion of receiver functions and surface wave dispersion data, using a transdimensional Bayesian formulation. This class of algorithm treats the number of model parameters (e.g. number of layers) as an unknown in the problem. The dimension of the model space is variable and a Markov chain Monte Carlo (McMC) scheme is used to provide a parsimonious solution that fully quantifies the degree of knowledge one has about seismic structure (i.e constraints on the...[Show more]
|Collections||ANU Research Publications|
|Source:||Journal of Geophysical Research: Space Physics / Atmospheres|
|01_Bodin_Transdimensional_inversion_of_2012.pdf||709.54 kB||Adobe PDF|
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