VIP - Variational Inversion Package with example implementations of Bayesian tomographic imaging
Bayesian inference has become an important methodology to solve inverse problems and to quantify uncertainties in their solutions. Variational inference is a method that provides probabilistic, Bayesian solutions efficiently by using optimisation. In this study we present a Python Variational Invers...
| Published in: | Seismica |
|---|---|
| Main Authors: | , |
| Format: | Article |
| Language: | English |
| Published: |
McGill University
2024-05-01
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| Online Access: | https://seismica.library.mcgill.ca/article/view/1143 |