Efficient Bayesian uncertainty estimation in linear finite fault inversion with positivity constraints by employing a log-normal prior
Obtaining slip distributions for earthquakes results in an ill-posed inverse problem. While this implies that only limited and uncertain information can be recovered from the data, inferences are typically made based only on a single regularized model. Here, we develop an inversion approach that can quantify uncertainties in a Bayesian probabilistic framework for the finite fault inversion (FFI) problem. The approach is suitably efficient for rapid source characterization and includes...[Show more]
|Collections||ANU Research Publications|
|Source:||Geophysical Journal International|
|Access Rights:||Open Access|
|01_Benavente_Efficient_Bayesian_uncertainty_2019.pdf||5 MB||Adobe PDF|
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