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...
المؤلفون الرئيسيون: | Zhang, R, Czado, C, Sigloch, K |
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التنسيق: | Journal article |
منشور في: |
Institute of Mathematical Statistics
2013
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مواد مشابهة
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