Weighted Bayesian uncertainty quantification for the high explosive reactants using limited data
Bayesian uncertainty analysis is a highly effective tool for estimating model uncertainty, thereby improving the prediction ability with limited data. The data quality plays a role in uncertainty analysis. This paper presents a novel approach to assess the quality of limited experiment data for high...
Saved in:
| Main Authors: | , , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
AIP Publishing LLC
2025-02-01
|
| Series: | AIP Advances |
| Online Access: | http://dx.doi.org/10.1063/5.0244326 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Be the first to leave a comment!