A two-stage framework combining derivative-free MCMC sampling and transport maps for black-box Bayesian inverse problems
- DOI
- 10.1061/ajrua6/rueng-1702
- Published
- 2026
- Container
- ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part A: Civil Engineering
- Publisher
- Not recorded
- Open access
- no
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Cite this work
BibTeX
@article{allodium:10.1061/ajrua6/rueng-1702,
title = {A two-stage framework combining derivative-free MCMC sampling and transport maps for black-box Bayesian inverse problems},
author = {Dawen Wu and Ludovic Chamoin},
year = {2026},
journal = {ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part A: Civil Engineering},
doi = {10.1061/ajrua6/rueng-1702},
url = {https://doi.org/10.1061/ajrua6/rueng-1702}
}RIS
TY - JOUR TI - A two-stage framework combining derivative-free MCMC sampling and transport maps for black-box Bayesian inverse problems AU - Dawen Wu AU - Ludovic Chamoin PY - 2026 JO - ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part A: Civil Engineering DO - 10.1061/ajrua6/rueng-1702 UR - https://doi.org/10.1061/ajrua6/rueng-1702 ER -
APA
Wu, D., & Chamoin, L. (2026). A two-stage framework combining derivative-free MCMC sampling and transport maps for black-box Bayesian inverse problems. ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part A: Civil Engineering. https://doi.org/10.1061/ajrua6/rueng-1702
Source records
- hal · retrieved 2026-11-04T17:17:26.250Z