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Title: Scalable posterior approximations for large-scale Bayesian inverse problems via likelihood-informed parameter and state reduction

Authors:
; ;
Publication Date:
Grant/Contract Number:
SC0009297
Type:
Publisher's Accepted Manuscript
Journal Name:
Journal of Computational Physics
Additional Journal Information:
Journal Volume: 315; Journal Issue: C; Related Information: CHORUS Timestamp: 2018-09-13 18:58:16; Journal ID: ISSN 0021-9991
Publisher:
Elsevier
Sponsoring Org:
USDOE
Country of Publication:
United States
Language:
English
OSTI Identifier:
1325283

Cui, Tiangang, Marzouk, Youssef, and Willcox, Karen. Scalable posterior approximations for large-scale Bayesian inverse problems via likelihood-informed parameter and state reduction. United States: N. p., Web. doi:10.1016/j.jcp.2016.03.055.
Cui, Tiangang, Marzouk, Youssef, & Willcox, Karen. Scalable posterior approximations for large-scale Bayesian inverse problems via likelihood-informed parameter and state reduction. United States. doi:10.1016/j.jcp.2016.03.055.
Cui, Tiangang, Marzouk, Youssef, and Willcox, Karen. 2016. "Scalable posterior approximations for large-scale Bayesian inverse problems via likelihood-informed parameter and state reduction". United States. doi:10.1016/j.jcp.2016.03.055.
@article{osti_1325283,
title = {Scalable posterior approximations for large-scale Bayesian inverse problems via likelihood-informed parameter and state reduction},
author = {Cui, Tiangang and Marzouk, Youssef and Willcox, Karen},
abstractNote = {},
doi = {10.1016/j.jcp.2016.03.055},
journal = {Journal of Computational Physics},
number = C,
volume = 315,
place = {United States},
year = {2016},
month = {6}
}