A Causal Approach to Model Validation and Calibration
Conference
·
OSTI ID:2479889
- Idaho National Laboratory
This poster presents a novel method for validation and verification that focuses on identifying causal relationships between data elements, moving beyond traditional statistical and machine learning approaches. These methods employ causal discovery techniques to reveal the underlying mechanisms of data generation. The research utilizes structural causal models and directed acyclic graphs to depict causal relationships. This approach assists in achieving alignment between simulation models and reality.
- Research Organization:
- Idaho National Laboratory (INL), Idaho Falls, ID (United States)
- Sponsoring Organization:
- 58
- DOE Contract Number:
- AC07-05ID14517
- OSTI ID:
- 2479889
- Report Number(s):
- INL/MIS-24-80685-Rev000
- Country of Publication:
- United States
- Language:
- English
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