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Analysis of a Computational Framework for Bayesian Inverse Problems:
  Ensemble Kalman Updates and MAP Estimators Under Mesh Refinement

Analysis of a Computational Framework for Bayesian Inverse Problems: Ensemble Kalman Updates and MAP Estimators Under Mesh Refinement

19 April 2023
D. Sanz-Alonso
Nathan Waniorek
ArXivPDFHTML

Papers citing "Analysis of a Computational Framework for Bayesian Inverse Problems: Ensemble Kalman Updates and MAP Estimators Under Mesh Refinement"

4 / 4 papers shown
Title
Covariance Operator Estimation via Adaptive Thresholding
Covariance Operator Estimation via Adaptive Thresholding
Omar Al Ghattas
D. Sanz-Alonso
50
1
0
28 May 2024
Hierarchical Bayesian Inverse Problems: A High-Dimensional Statistics
  Viewpoint
Hierarchical Bayesian Inverse Problems: A High-Dimensional Statistics Viewpoint
D. Sanz-Alonso
Nathan Waniorek
27
0
0
05 Jan 2024
Covariance Operator Estimation: Sparsity, Lengthscale, and Ensemble
  Kalman Filters
Covariance Operator Estimation: Sparsity, Lengthscale, and Ensemble Kalman Filters
Omar Al Ghattas
Jiaheng Chen
D. Sanz-Alonso
Nathan Waniorek
26
4
0
25 Oct 2023
Bayesian Posterior Perturbation Analysis with Integral Probability
  Metrics
Bayesian Posterior Perturbation Analysis with Integral Probability Metrics
A. Garbuno-Iñigo
T. Helin
Franca Hoffmann
Bamdad Hosseini
30
9
0
02 Mar 2023
1