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Title: Coordinate transformation and Polynomial Chaos for the Bayesian inference of a Gaussian process with parametrized prior covariance function

Authors:
ORCiD logo ; ; ;
Publication Date:
Grant/Contract Number:
SC0008789
Type:
Publisher's Accepted Manuscript
Journal Name:
Computer Methods in Applied Mechanics and Engineering
Additional Journal Information:
Journal Volume: 298; Journal Issue: C; Related Information: CHORUS Timestamp: 2018-09-18 05:30:08; Journal ID: ISSN 0045-7825
Publisher:
Elsevier
Sponsoring Org:
USDOE
Country of Publication:
Netherlands
Language:
English
OSTI Identifier:
1358954

Sraj, Ihab, Le Maître, Olivier P., Knio, Omar M., and Hoteit, Ibrahim. Coordinate transformation and Polynomial Chaos for the Bayesian inference of a Gaussian process with parametrized prior covariance function. Netherlands: N. p., Web. doi:10.1016/j.cma.2015.10.002.
Sraj, Ihab, Le Maître, Olivier P., Knio, Omar M., & Hoteit, Ibrahim. Coordinate transformation and Polynomial Chaos for the Bayesian inference of a Gaussian process with parametrized prior covariance function. Netherlands. doi:10.1016/j.cma.2015.10.002.
Sraj, Ihab, Le Maître, Olivier P., Knio, Omar M., and Hoteit, Ibrahim. 2016. "Coordinate transformation and Polynomial Chaos for the Bayesian inference of a Gaussian process with parametrized prior covariance function". Netherlands. doi:10.1016/j.cma.2015.10.002.
@article{osti_1358954,
title = {Coordinate transformation and Polynomial Chaos for the Bayesian inference of a Gaussian process with parametrized prior covariance function},
author = {Sraj, Ihab and Le Maître, Olivier P. and Knio, Omar M. and Hoteit, Ibrahim},
abstractNote = {},
doi = {10.1016/j.cma.2015.10.002},
journal = {Computer Methods in Applied Mechanics and Engineering},
number = C,
volume = 298,
place = {Netherlands},
year = {2016},
month = {1}
}