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Non-Stationary Multi-layered Gaussian Priors for Bayesian Inversion
In this article, we study Bayesian inverse problems with multi-layered Gaussian priors.
Statistics Theory Statistics Theory
Probabilistic approach to limited-data computed tomography reconstruction
The approach also allows for reformulation of come classical regularization methods as Laplacian and Tikhonov regularization as Gaussian process regression, and hence provides an efficient algorithm and principled means for their parameter tuning.
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