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Dimension reduction of Bayesian inverse problems
Flock, Rafael
(PhD Student)
Dong, Yiqiu
(Main Supervisor)
Zahm, Olivier
(Supervisor)
Helin, Tapio
(Examiner)
Scheichl, Robert
(Examiner)
Scientific Computing
Department of Applied Mathematics and Computer Science
Overview
Fingerprint
Publications
(1)
Project Details
Status
Finished
Effective start/end date
01/10/2021
→
14/01/2025
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Explore the research topics touched on by this project. These labels are generated based on the underlying awards/grants. Together they form a unique fingerprint.
Metropolis-adjusted Langevin Algorithm
Keyphrases
100%
Logarithmic Sobolev Inequalities
Mathematics
76%
Dimension Independent
Keyphrases
66%
Logarithmic Sobolev Inequality
Keyphrases
66%
Adapted Basis
Mathematics
38%
Mixed Approximation
Keyphrases
33%
Poincaré Inequality
Keyphrases
33%
Ridge Approximation
Keyphrases
33%
Research output
Research output per year
2024
2024
2024
1
Ph.D. thesis
Research output per year
Research output per year
Dimension reduction methods for Bayesian inversion with applications in image reconstruction
Flock, R.,
2024
,
Technical University of Denmark
.
162 p.
Research output
:
Book/Report
›
Ph.D. thesis
Open Access
File
Metropolis-adjusted Langevin Algorithm
100%
Logarithmic Sobolev Inequalities
76%
Dimension Independent
66%
Logarithmic Sobolev Inequality
66%
Adapted Basis
38%
69
Downloads (Orbit)