The development of three‐dimensional seismic models for the crust and upper mantle has
traditionally focused on finding one model that provides the best fit to the data while
observing some regularization constraints. In contrast to this, the inversion employed here
fits the data in a probabilistic sense and thus provides a quantitative measure of model
uncertainty. Our probabilistic model is based on two sources of information:(1) prior
information, which is independent from the data, and (2) different geophysical data sets …