A Bayesian linear model for the high-dimensional inverse problem of seismic tomography

A Bayesian linear model for the high-dimensional inverse problem of seismic tomography

We apply a linear Bayesian model to seismic tomography, a high-dimensional inverse problem in geophysics. The objective is to estimate the three-dimensional structure of the earth’s interior from data measured at its surface. Since this typically involves estimating thousands of unknowns or more, it...

Полное описание

Библиографические подробности
Главные авторы:	Zhang, R, Czado, C, Sigloch, K
Формат:	Journal article
Опубликовано:	Institute of Mathematical Statistics 2013

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