• Corpus ID: 234470176

Bayesian variational regularization on the ball

@article{Price2021BayesianVR,
  title={Bayesian variational regularization on the ball},
  author={Matthew Alexander Price and Jason D. McEwen},
  journal={ArXiv},
  year={2021},
  volume={abs/2105.05518}
}
We develop variational regularization methods which leverage sparsity-promoting priors to solve severely illposed inverse problems defined on the 3D ball (i.e. the solid sphere). Our method solves the problem natively on the ball and thus does not suffer from discontinuities that plague alternate approaches where each spherical shell is considered independently. Additionally, we leverage advances in probability density theory to produce Bayesian variational methods which benefit from the… 

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