R. Renaut

activity

20092022

most citedHybrid and iteratively reweighted regularization by unbiased predictive risk and weighted GCV for projected systems

50 citations · 351 across the 23 of their papers we have counts for

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Showing 2014 · math.NAShow all

2 papers · 2 filters

math.NA2014★ 35 cited

Application of the $χ^{2}$ principle and unbiased predictive risk estimator for determining the regularization parameter in 3D focusing gravity inversion

Saeed Vatankhah, Vahid E. Ardestani, Rosemary A. Renaut

The $χ^{2}$ principle and the unbiased predictive risk estimator are used to determine optimal regularization parameters in the context of 3D focusing gravity inversion with the mini…

math.NA2014★ 17 cited

Regularization Parameter Estimation for Underdetermined problems by the $χ^{2}$ principle with application to $2 D$ focusing gravity inversion

Saeed Vatankhah, Rosemary A Renaut, Vahid E Ardestani

The $χ^{2}$ -principle generalizes the Morozov discrepancy principle (MDP) to the augmented residual of the Tikhonov regularized least squares problem. Weighting of the data fidelity…

Application of the χ2 principle and unbiased predictive risk estimator for determining the regularization parameter in 3D focusing gravity inversion

Regularization Parameter Estimation for Underdetermined problems by the χ2 principle with application to 2D focusing gravity inversion

Application of the $χ^{2}$ principle and unbiased predictive risk estimator for determining the regularization parameter in 3D focusing gravity inversion

Regularization Parameter Estimation for Underdetermined problems by the $χ^{2}$ principle with application to $2 D$ focusing gravity inversion