Multi-model polynomial chaos surrogate dictionary for Bayesian inference in elasticity problems
- Authors:
- Publication Date:
- Sponsoring Org.:
- USDOE
- OSTI Identifier:
- 1397754
- Resource Type:
- Publisher's Accepted Manuscript
- Journal Name:
- Probabilistic Engineering Mechanics
- Additional Journal Information:
- Journal Name: Probabilistic Engineering Mechanics Journal Volume: 46 Journal Issue: C; Journal ID: ISSN 0266-8920
- Publisher:
- Elsevier
- Country of Publication:
- France
- Language:
- English
Citation Formats
Contreras, Andres A., Le Maître, Olivier P., Aquino, Wilkins, and Knio, Omar M. Multi-model polynomial chaos surrogate dictionary for Bayesian inference in elasticity problems. France: N. p., 2016.
Web. doi:10.1016/j.probengmech.2016.08.004.
Contreras, Andres A., Le Maître, Olivier P., Aquino, Wilkins, & Knio, Omar M. Multi-model polynomial chaos surrogate dictionary for Bayesian inference in elasticity problems. France. https://doi.org/10.1016/j.probengmech.2016.08.004
Contreras, Andres A., Le Maître, Olivier P., Aquino, Wilkins, and Knio, Omar M. Sat .
"Multi-model polynomial chaos surrogate dictionary for Bayesian inference in elasticity problems". France. https://doi.org/10.1016/j.probengmech.2016.08.004.
@article{osti_1397754,
title = {Multi-model polynomial chaos surrogate dictionary for Bayesian inference in elasticity problems},
author = {Contreras, Andres A. and Le Maître, Olivier P. and Aquino, Wilkins and Knio, Omar M.},
abstractNote = {},
doi = {10.1016/j.probengmech.2016.08.004},
journal = {Probabilistic Engineering Mechanics},
number = C,
volume = 46,
place = {France},
year = {Sat Oct 01 00:00:00 EDT 2016},
month = {Sat Oct 01 00:00:00 EDT 2016}
}
Free Publicly Available Full Text
Publisher's Version of Record
https://doi.org/10.1016/j.probengmech.2016.08.004
https://doi.org/10.1016/j.probengmech.2016.08.004
Other availability
Cited by: 4 works
Citation information provided by
Web of Science
Web of Science
Save to My Library
You must Sign In or Create an Account in order to save documents to your library.