
Edgepromoting adaptive Bayesian experimental design for Xray imaging
This work considers sequential edgepromoting Bayesian experimental desi...
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Convex regularization in statistical inverse learning problems
We consider a statistical inverse learning problem, where the task is to...
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Nonasymptotic error estimates for the Laplace approximation in Bayesian inverse problems
In this paper we study properties of the Laplace approximation of the po...
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Sequentially optimized projections in Xray imaging
This work applies Bayesian experimental design to selecting optimal proj...
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Hyperparameter Estimation in Bayesian MAP Estimation: Parameterizations and Consistency
The Bayesian formulation of inverse problems is attractive for three pri...
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Rates of contraction of posterior distributions based on pexponential priors
We consider a family of infinite dimensional product measures with tails...
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Generalized modes in Bayesian inverse problems
This work is concerned with nonparametric modes and MAP estimates for p...
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Tapio Helin
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