Bayesian Quantification of Uncertainty in Systems with Intrinsic Noise.
Conference
·
OSTI ID:1728568
Abstract not provided.
- Research Organization:
- Sandia National Lab. (SNL-CA), Livermore, CA (United States)
- Sponsoring Organization:
- USDOE National Nuclear Security Administration (NNSA)
- DOE Contract Number:
- AC04-94AL85000
- OSTI ID:
- 1728568
- Report Number(s):
- SAND2011-7610P; 526419
- Resource Relation:
- Conference: Proposed for presentation at the DOE ASCR PI meeting held October 17-19, 2011 in Reston, VA.
- Country of Publication:
- United States
- Language:
- English
Similar Records
Bayesian Quantification of Uncertainty in Systems with Intrinsic Noise.
Towards Uncertainty Quantification in 21st Century Sea-Level Rise Predictions: Efficient Methods for Bayesian Calibration and Forward Propagation of Uncertainty for Land-Ice Models.
Presentation: Validating extreme-scale HPC simulation through Bayesian inference uncertainty quantification.
Conference
·
Sat Oct 01 00:00:00 EDT 2011
·
OSTI ID:1728568
+1 more
Towards Uncertainty Quantification in 21st Century Sea-Level Rise Predictions: Efficient Methods for Bayesian Calibration and Forward Propagation of Uncertainty for Land-Ice Models.
Conference
·
Tue Mar 01 00:00:00 EST 2016
·
OSTI ID:1728568
+3 more
Presentation: Validating extreme-scale HPC simulation through Bayesian inference uncertainty quantification.
Conference
·
Thu Aug 01 00:00:00 EDT 2013
·
OSTI ID:1728568
+3 more