Pages that link to "Item:Q2938441"
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The following pages link to An Analysis of Infinite Dimensional Bayesian Inverse Shape Acoustic Scattering and Its Numerical Approximation (Q2938441):
Displaying 39 items.
- FEM-based discretization-invariant MCMC methods for PDE-constrained Bayesian inverse problems (Q338594) (← links)
- The Bayesian formulation of EIT: analysis and algorithms (Q338599) (← links)
- Stabilities of shape identification inverse problems in a Bayesian framework (Q777122) (← links)
- Bayesian method for shape reconstruction in the inverse interior scattering problem (Q1666990) (← links)
- A Bayesian level set method for an inverse medium scattering problem in acoustics (Q1983455) (← links)
- Mixing rates for Hamiltonian Monte Carlo algorithms in finite and infinite dimensions (Q2093317) (← links)
- The interior inverse scattering problem for a two-layered cavity using the Bayesian method (Q2158243) (← links)
- An efficient algorithm for a class of stochastic forward and inverse Maxwell models in \(\mathbb{R}^3\) (Q2222567) (← links)
- Bayesian approach to inverse time-harmonic acoustic obstacle scattering with phaseless data generated by point source waves (Q2246258) (← links)
- Learning high-dimensional parametric maps via reduced basis adaptive residual networks (Q2679335) (← links)
- Data assimilation -- mathematical foundation and applications. Abstracts from the workshop held February 20--26, 2022 (Q2693037) (← links)
- Parameter estimation with maximal updated densities (Q2693387) (← links)
- Qualitative Robustness in Bayesian Inference (Q4578053) (← links)
- Estimation of the Robin coefficient field in a Poisson problem with uncertain conductivity field (Q4682392) (← links)
- The Helmholtz Equation in Random Media: Well-Posedness and A Priori Bounds (Q4960983) (← links)
- Bayesian approach to inverse scattering with topological priors (Q4970552) (← links)
- Point cloud‐based scatterer approximation and affine invariant sampling in the inverse scattering problem (Q4977750) (← links)
- Reliability assessment and data inversion using a surrogate model of wave propagation in functionally graded materials (Q4991476) (← links)
- A Bayesian method for an inverse transmission scattering problem in acoustics (Q5036815) (← links)
- On a Hybrid Approach for Recovering Multiple Obstacles (Q5065195) (← links)
- Bayesian approach for inverse interior scattering problems with limited aperture (Q5071307) (← links)
- Extended-Sampling-Bayesian Method for Limited Aperture Inverse Scattering Problems (Q5108482) (← links)
- Bayesian approach to inverse time-harmonic acoustic scattering with phaseless far-field data (Q5113633) (← links)
- A Reduced-Order-Model Bayesian Obstacle Detection Algorithm (Q5118782) (← links)
- Learning regularization parameters of inverse problems via deep neural networks (Q5157862) (← links)
- Bayesian Probabilistic Numerical Methods in Time-Dependent State Estimation for Industrial Hydrocyclone Equipment (Q5208054) (← links)
- Accurate Solution of Bayesian Inverse Uncertainty Quantification Problems Combining Reduced Basis Methods and Reduction Error Models (Q5741184) (← links)
- A Bayesian scheme for reconstructing obstacles in acoustic waveguides (Q6084626) (← links)
- Uncertainty Quantification of Inclusion Boundaries in the Context of X-Ray Tomography (Q6109154) (← links)
- Error control of the numerical posterior with Bayes factors in Bayesian uncertainty quantification (Q6121680) (← links)
- On the accept-reject mechanism for Metropolis-Hastings algorithms (Q6139681) (← links)
- A Bayesian approach for consistent reconstruction of inclusions (Q6149891) (← links)
- Large-scale Bayesian optimal experimental design with derivative-informed projected neural network (Q6159007) (← links)
- Object based Bayesian full-waveform inversion for shear elastography (Q6162741) (← links)
- Deterministic-statistical approach for an inverse acoustic source problem using multiple frequency limited aperture data (Q6170660) (← links)
- Derivative-informed neural operator: an efficient framework for high-dimensional parametric derivative learning (Q6202135) (← links)
- Bayesian model error method for the passive inverse scattering problem (Q6557680) (← links)
- Probability and moment inequalities for additive functionals of geometrically ergodic Markov chains (Q6592137) (← links)
- Parametric shape holomorphy of boundary integral operators with applications (Q6621317) (← links)
