Estimating nuisance parameters in inverse problems
From MaRDI portal
Publication:3143616
DOI10.1088/0266-5611/28/11/115016zbMath1253.49021arXiv1206.6532OpenAlexW3099438294MaRDI QIDQ3143616
Aleksandr Y. Aravkin, Tristan van Leeuwen
Publication date: 3 December 2012
Published in: Inverse Problems (Search for Journal in Brave)
Full work available at URL: https://arxiv.org/abs/1206.6532
inverse problemsGaussian modelnuisance parameterdegrees of freedomautomatic calibrationrobust inverse problems
Related Items (17)
A general family of trimmed estimators for robust high-dimensional data analysis ⋮ Solution of an acoustic transmission inverse problem by extended inversion ⋮ Trimmed Constrained Mixed Effects Models: Formulations and Algorithms ⋮ Numerical approximation of partial differential equations by a variable projection method with artificial neural networks ⋮ Estimating shape parameters of piecewise linear-quadratic problems ⋮ Adaptive minimax optimality in statistical inverse problems via SOLIT—Sharp Optimal Lepskiĭ-Inspired Tuning ⋮ Parametric level-set inverse problems with stochastic background estimation ⋮ Enabling Hyper-Differential Sensitivity Analysis for Ill-Posed Inverse Problems ⋮ Variable Projection Methods for an Optimized Dynamic Mode Decomposition ⋮ Optimal Design of Large-scale Bayesian Linear Inverse Problems Under Reducible Model Uncertainty: Good to Know What You Don't Know ⋮ Variable Projection for NonSmooth Problems ⋮ A penalty method for PDE-constrained optimization in inverse problems ⋮ Total Variation Regularization Strategies in Full-Waveform Inversion ⋮ Sparse Principal Component Analysis via Variable Projection ⋮ Variable Projection for NonSmooth Problems ⋮ Robust and Scalable Methods for the Dynamic Mode Decomposition ⋮ On cost function transformations for the reduction of uncertain model parameters' impact towards the optimal solutions
Uses Software
This page was built for publication: Estimating nuisance parameters in inverse problems
