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...
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| 格式: | Journal article |
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Institute of Mathematical Statistics
2013
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