Uncertainty propagation using infinite mixture of Gaussian processes and variational Bayesian inference
- Authors:
- Publication Date:
- Sponsoring Org.:
- USDOE Office of Science (SC), Advanced Scientific Computing Research (ASCR)
- OSTI Identifier:
- 1244283
- Grant/Contract Number:
- SC0004910; AC02-05CH11231
- Resource Type:
- Publisher's Accepted Manuscript
- Journal Name:
- Journal of Computational Physics
- Additional Journal Information:
- Journal Name: Journal of Computational Physics Journal Volume: 284 Journal Issue: C; Journal ID: ISSN 0021-9991
- Publisher:
- Elsevier
- Country of Publication:
- United States
- Language:
- English
Citation Formats
Chen, Peng, Zabaras, Nicholas, and Bilionis, Ilias. Uncertainty propagation using infinite mixture of Gaussian processes and variational Bayesian inference. United States: N. p., 2015.
Web. doi:10.1016/j.jcp.2014.12.028.
Chen, Peng, Zabaras, Nicholas, & Bilionis, Ilias. Uncertainty propagation using infinite mixture of Gaussian processes and variational Bayesian inference. United States. https://doi.org/10.1016/j.jcp.2014.12.028
Chen, Peng, Zabaras, Nicholas, and Bilionis, Ilias. Sun .
"Uncertainty propagation using infinite mixture of Gaussian processes and variational Bayesian inference". United States. https://doi.org/10.1016/j.jcp.2014.12.028.
@article{osti_1244283,
title = {Uncertainty propagation using infinite mixture of Gaussian processes and variational Bayesian inference},
author = {Chen, Peng and Zabaras, Nicholas and Bilionis, Ilias},
abstractNote = {},
doi = {10.1016/j.jcp.2014.12.028},
journal = {Journal of Computational Physics},
number = C,
volume = 284,
place = {United States},
year = {Sun Mar 01 00:00:00 EST 2015},
month = {Sun Mar 01 00:00:00 EST 2015}
}
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https://doi.org/10.1016/j.jcp.2014.12.028
https://doi.org/10.1016/j.jcp.2014.12.028
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Cited by: 27 works
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