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Hierarchical Ensemble Kalman Methods with Sparsity-Promoting Generalized
  Gamma Hyperpriors

Hierarchical Ensemble Kalman Methods with Sparsity-Promoting Generalized Gamma Hyperpriors

Foundations of Data Science (FODS), 2022
19 May 2022
Hwanwoo Kim
D. Sanz-Alonso
A. Strang
ArXiv (abs)PDFHTML

Papers citing "Hierarchical Ensemble Kalman Methods with Sparsity-Promoting Generalized Gamma Hyperpriors"

5 / 5 papers shown
Title
Hierarchical Bayesian Inverse Problems: A High-Dimensional Statistics
  Viewpoint
Hierarchical Bayesian Inverse Problems: A High-Dimensional Statistics Viewpoint
D. Sanz-Alonso
Nathan Waniorek
153
1
0
05 Jan 2024
Sampling via Gradient Flows in the Space of Probability Measures
Sampling via Gradient Flows in the Space of Probability Measures
Yifan Chen
Daniel Zhengyu Huang
Jiaoyang Huang
Sebastian Reich
Andrew M. Stuart
264
19
0
05 Oct 2023
Leveraging joint sparsity in hierarchical Bayesian learning
Leveraging joint sparsity in hierarchical Bayesian learning
J. Glaubitz
Anne Gelb
159
11
0
29 Mar 2023
Gradient Flows for Sampling: Mean-Field Models, Gaussian Approximations
  and Affine Invariance
Gradient Flows for Sampling: Mean-Field Models, Gaussian Approximations and Affine Invariance
Yifan Chen
Daniel Zhengyu Huang
Jiaoyang Huang
Sebastian Reich
Andrew M. Stuart
583
22
0
21 Feb 2023
Non-Asymptotic Analysis of Ensemble Kalman Updates: Effective Dimension
  and Localization
Non-Asymptotic Analysis of Ensemble Kalman Updates: Effective Dimension and LocalizationInformation and Inference A Journal of the IMA (JIII), 2022
Omar Al Ghattas
D. Sanz-Alonso
247
21
0
05 Aug 2022
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