Pages that link to "Item:Q2192321"
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The following pages link to Convergence analysis of Tikhonov regularization for non-linear statistical inverse problems (Q2192321):
Displaying 11 items.
- \(\chi^2\) tests for the choice of the regularization parameter in nonlinear inverse problems (Q2866232) (← links)
- Elastic-Net Regularization: Iterative Algorithms and Asymptotic Behavior of Solutions (Q3068667) (← links)
- On convergence of local averaging regression function estimates for the regularization of inverse problems (Q3086008) (← links)
- Regularization of statistical inverse problems and the Bakushinskiĭ veto (Q3103935) (← links)
- Convergence Rates of Spectral Regularization Methods: A Comparison between Ill-Posed Inverse Problems and Statistical Kernel Learning (Q3386994) (← links)
- (Q4382696) (← links)
- Convergence Rates for Learning Linear Operators from Noisy Data (Q6109175) (← links)
- Convex regularization in statistical inverse learning problems (Q6115632) (← links)
- Inverse learning in Hilbert scales (Q6134325) (← links)
- Nonlinear Tikhonov regularization in Hilbert scales for inverse learning (Q6193949) (← links)
- Least squares approximations in linear statistical inverse learning problems (Q6601195) (← links)
