Pages that link to "Item:Q479868"
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The following pages link to Whittle-Matérn priors for Bayesian statistical inversion with applications in electrical impedance tomography (Q479868):
Displaying 50 items.
- Compression, inversion, and approximate PCA of dense kernel matrices at near-linear computational complexity (Q92247) (← links)
- Artificial boundary conditions and domain truncation in electrical impedance tomography. II: Stochastic extension of the boundary map (Q256056) (← links)
- The Bayesian formulation of EIT: analysis and algorithms (Q338599) (← links)
- Hyperpriors for Matérn fields with applications in Bayesian inversion (Q667766) (← links)
- On statistical Calderón problems (Q778889) (← links)
- Elliptic boundary value problems with Gaussian white noise loads (Q1615903) (← links)
- Hierarchical Bayesian level set inversion (Q1703838) (← links)
- Mitigating the influence of the boundary on PDE-based covariance operators (Q1785028) (← links)
- A Bayesian level set method for an inverse medium scattering problem in acoustics (Q1983455) (← links)
- A Bayesian level set method for the shape reconstruction of inverse scattering problems in elasticity (Q2047554) (← links)
- Statistical guarantees for Bayesian uncertainty quantification in nonlinear inverse problems with Gaussian process priors (Q2073706) (← links)
- The SPDE approach to Matérn fields: graph representations (Q2092895) (← links)
- Cauchy Markov random field priors for Bayesian inversion (Q2128078) (← links)
- Spatially-dependent material uncertainties in anisotropic nonlinear elasticity: stochastic modeling, identification, and propagation (Q2136730) (← links)
- Stochastic analysis of geometrically imperfect thin cylindrical shells using topology-aware uncertainty models (Q2138801) (← links)
- Bayesian inversion for electrical-impedance tomography in medical imaging using the nonlinear Poisson-Boltzmann equation (Q2184284) (← links)
- Hyperparameter estimation in Bayesian MAP estimation: parameterizations and consistency (Q2188103) (← links)
- An additive approximation to multiplicative noise (Q2217386) (← links)
- Stochastic modeling of geometrical uncertainties on complex domains, with application to additive manufacturing and brain interface geometries (Q2237736) (← links)
- Stochastic modeling and identification of material parameters on structures produced by additive manufacturing (Q2246396) (← links)
- Cauchy difference priors for edge-preserving Bayesian inversion (Q2422503) (← links)
- Iterated Kalman methodology for inverse problems (Q2671376) (← links)
- Statistically equivalent surrogate material models: impact of random imperfections on the elasto-plastic response (Q2679290) (← links)
- A regularizing iterative ensemble Kalman method for PDE-constrained inverse problems (Q2794608) (← links)
- Reconstruction of velocity fields in electromagnetic flow tomography (Q2955891) (← links)
- Optimal experimental design under irreducible uncertainty for linear inverse problems governed by PDEs (Q3298402) (← links)
- A fractional PDE model for turbulent velocity fields near solid walls (Q3389308) (← links)
- How Deep Are Deep Gaussian Processes? (Q4558207) (← links)
- Parameterizations for ensemble Kalman inversion (Q4569357) (← links)
- Bayesian inversion in resin transfer molding (Q4582679) (← links)
- Iterative updating of model error for Bayesian inversion (Q4607829) (← links)
- Sparse Approximations of Fractional Matérn Fields (Q4637097) (← links)
- Bayes Meets Krylov: Statistically Inspired Preconditioners for CGLS (Q4641716) (← links)
- Estimation of the Robin coefficient field in a Poisson problem with uncertain conductivity field (Q4682392) (← links)
- Multilevel Hierarchical Decomposition of Finite Element White Noise with Application to Multilevel Markov Chain Monte Carlo (Q4997424) (← links)
- Sparse Cholesky Factorization by Kullback--Leibler Minimization (Q4997432) (← links)
- Semivariogram methods for modeling Whittle–Matérn priors in Bayesian inverse problems (Q5000601) (← links)
- A Bayesian filtering approach to layer stripping for electrical impedance tomography (Q5000611) (← links)
- On the local Lipschitz stability of Bayesian inverse problems (Q5000612) (← links)
- Joint estimation of Robin coefficient and domain boundary for the Poisson problem (Q5019922) (← links)
- Bayesian statistical inference using a regression in electrical impedance tomography (Q5081812) (← links)
- Tikhonov Regularization within Ensemble Kalman Inversion (Q5110544) (← links)
- Adaptive regularisation for ensemble Kalman inversion (Q5148433) (← links)
- Optimal Design of Large-scale Bayesian Linear Inverse Problems Under Reducible Model Uncertainty: Good to Know What You Don't Know (Q5149782) (← links)
- Linearized Bayesian inference for Young’s modulus parameter field in an elastic model of slender structures (Q5160962) (← links)
- Multilevel Hierarchical Decomposition of Finite Element White Noise with Application to Multilevel Markov Chain Monte Carlo (Q5161745) (← links)
- A Statistical Framework for Generating Microstructures of Two-Phase Random Materials: Application to Fatigue Analysis (Q5222113) (← links)
- Analysis of Boundary Effects on PDE-Based Sampling of Whittle--Matérn Random Fields (Q5237181) (← links)
- Approximation of continuous EIT data from electrode measurements with Bayesian methods (Q5382472) (← links)
- Bayesian damage identification of simply supported beams from elastostatic data (Q5861314) (← links)