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Hyperparameter Estimation in Bayesian MAP Estimation: Parameterizations
  and Consistency

Hyperparameter Estimation in Bayesian MAP Estimation: Parameterizations and Consistency

10 May 2019
Matthew M. Dunlop
T. Helin
Andrew M. Stuart
ArXiv (abs)PDFHTML

Papers citing "Hyperparameter Estimation in Bayesian MAP Estimation: Parameterizations and Consistency"

7 / 7 papers shown
Title
A Bayesian approach for consistent reconstruction of inclusions
A Bayesian approach for consistent reconstruction of inclusions
B. Afkham
K. Knudsen
A. K. Rasmussen
T. Tarvainen
31
3
0
25 Aug 2023
Hybrid iterative ensemble smoother for history matching of hierarchical
  models
Hybrid iterative ensemble smoother for history matching of hierarchical models
D. Oliver
24
10
0
02 Jun 2022
Computational Graph Completion
Computational Graph Completion
H. Owhadi
82
25
0
20 Oct 2021
Do ideas have shape? Idea registration as the continuous limit of
  artificial neural networks
Do ideas have shape? Idea registration as the continuous limit of artificial neural networks
H. Owhadi
153
14
0
10 Aug 2020
Consistency of Empirical Bayes And Kernel Flow For Hierarchical
  Parameter Estimation
Consistency of Empirical Bayes And Kernel Flow For Hierarchical Parameter Estimation
Yifan Chen
H. Owhadi
Andrew M. Stuart
111
31
0
22 May 2020
Optimization-Based MCMC Methods for Nonlinear Hierarchical Statistical
  Inverse Problems
Optimization-Based MCMC Methods for Nonlinear Hierarchical Statistical Inverse Problems
Johnathan M. Bardsley
Tiangang Cui
41
1
0
15 Feb 2020
Convergence of Gaussian Process Regression with Estimated
  Hyper-parameters and Applications in Bayesian Inverse Problems
Convergence of Gaussian Process Regression with Estimated Hyper-parameters and Applications in Bayesian Inverse Problems
A. Teckentrup
64
67
0
31 Aug 2019
1