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08/28/2022
Statistical Inverse Problems in Hilbert Scales
In this paper, we study the Tikhonov regularization scheme in Hilbert sc...
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11/15/2020
Nonparametric goodness-of-fit testing for parametric covariate models in pharmacometric analyses
The characterization of covariate effects on model parameters is a cruci...
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02/24/2020
Inverse learning in Hilbert scales
We study the linear ill-posed inverse problem with noisy data in the sta...
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02/01/2020
Tikhonov regularization with oversmoothing penalty for nonlinear statistical inverse problems
In this paper, we consider the nonlinear ill-posed inverse problem with ...
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02/14/2019
Convergence analysis of Tikhonov regularization for non-linear statistical inverse learning problems
We study a non-linear statistical inverse learning problem, where we obs...
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10/13/2017
Manifold regularization based on Nyström type subsampling
In this paper, we study the Nyström type subsampling for large scale ker...
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11/07/2016