118110
Lehrstuhl für Mathematics for Uncertainty Quantification Also known as:Lehrstuhl für Mathematics of Uncertainty Quantification| ID | I:(DE-82)118110_20190107 |
All known publications ...
Download: BibTeX | EndNote XML, Text | RIS |
Journal Article
Sparse Bayesian learning for label efficiency in cardiac real-time MRI
Statistics and computing 36(1), 21 (2026) [10.1007/s11222-025-10772-x]
Files
BibTeX |
EndNote:
XML,
Text |
RIS
Journal Article
Importance sampling for rare event tracking within the ensemble Kalman filtering framework
Statistics and computing 36(1), 2 (2026) [10.1007/s11222-025-10736-1]
Files
BibTeX |
EndNote:
XML,
Text |
RIS
Preprint
Filtered Markovian Projection: Dimensionality Reduction in Filtering for Stochastic Reaction Networks
33 Seiten (2025) [10.48550/arXiv.2502.07918]
Files
Fulltext by arXiv.org
BibTeX |
EndNote:
XML,
Text |
RIS
Preprint
Multilevel randomized quasi-Monte Carlo estimator for nested integration
51 Seiten (2024) [10.48550/arXiv.2412.07723]
Files
Fulltext by arXiv.org
BibTeX |
EndNote:
XML,
Text |
RIS
Preprint
Efficient Stochastic BFGS methods Inspired by Bayesian Principles
18 Seiten (2025) [10.48550/arXiv.2507.07729]
Fulltext by arXiv.org
BibTeX |
EndNote:
XML,
Text |
RIS
Journal Article
Weak convergence analysis in the particle limit of the McKean–Vlasov equation using stochastic flows of particle systems
IMA journal of applied mathematics (2025) [10.1093/imamat/hxaf015]
Files
BibTeX |
EndNote:
XML,
Text |
RIS
Journal Article
Data-driven uncertainty quantification for constrained stochastic differential equations and application to solar photovoltaic power forecast data
Statistics and computing 35(5), 163 (2025) [10.1007/s11222-025-10698-4]
Files
BibTeX |
EndNote:
XML,
Text |
RIS
Dissertation / PhD Thesis
Numerical methods for stochastic optimal control: applications in rare event estimation and wireless networks
Aachen : RWTH Aachen University 1 Online-Ressource : Illustrationen (2025) [10.18154/RWTH-2025-05282] = Dissertation, RWTH Aachen University, 2025
Files
BibTeX |
EndNote:
XML,
Text |
RIS
Dissertation / PhD Thesis
Hierarchical methods for Bayesian optimal experimental design
Aachen : RWTH Aachen University 1 Online-Ressource : Illustrationen (2025) [10.18154/RWTH-2025-04489] = Dissertation, RWTH Aachen University, 2025
Files
BibTeX |
EndNote:
XML,
Text |
RIS
Journal Article
Scalable Method for Bayesian Experimental Design without Integrating over Posterior Distribution
SIAM ASA journal on uncertainty quantification 13(1), 114-139 (2025) [10.1137/23M1603364]
BibTeX |
EndNote:
XML,
Text |
RIS
All known publications ...
Download: BibTeX | EndNote XML, Text | RIS |