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...
| Những tác giả chính: | , , |
|---|---|
| Định dạng: | Journal article |
| Được phát hành: |
Institute of Mathematical Statistics
2013
|