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Title: Integrating reduced-order models in Bayesian inference via stochastic error models.

Abstract

Abstract not provided.

Authors:
 [1];  [2];  [3]
  1. Cornell
  2. Johns Hopkins University
  3. University of Arizona
Publication Date:
Research Org.:
Sandia National Lab. (SNL-NM), Albuquerque, NM (United States)
Sponsoring Org.:
USDOE National Nuclear Security Administration (NNSA)
OSTI Identifier:
1510634
Report Number(s):
SAND2018-4585C
662645
DOE Contract Number:  
AC04-94AL85000
Resource Type:
Conference
Resource Relation:
Conference: Proposed for presentation at the SIAM Conference on Uncertainty Quantification held April 16-19, 2018 in Garden Grove, CA.
Country of Publication:
United States
Language:
English

Citation Formats

Uy, Wayne, Lu, Fei, and Morzfeld, Matthias. Integrating reduced-order models in Bayesian inference via stochastic error models.. United States: N. p., 2018. Web.
Uy, Wayne, Lu, Fei, & Morzfeld, Matthias. Integrating reduced-order models in Bayesian inference via stochastic error models.. United States.
Uy, Wayne, Lu, Fei, and Morzfeld, Matthias. Sun . "Integrating reduced-order models in Bayesian inference via stochastic error models.". United States. https://www.osti.gov/servlets/purl/1510634.
@article{osti_1510634,
title = {Integrating reduced-order models in Bayesian inference via stochastic error models.},
author = {Uy, Wayne and Lu, Fei and Morzfeld, Matthias},
abstractNote = {Abstract not provided.},
doi = {},
journal = {},
number = ,
volume = ,
place = {United States},
year = {2018},
month = {4}
}

Conference:
Other availability
Please see Document Availability for additional information on obtaining the full-text document. Library patrons may search WorldCat to identify libraries that hold this conference proceeding.

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