Embedded Model Form Uncertainty Quantification with Measurement Noise for Bayesian Model Calibration

Implementation, data, results and manuscript for the generation of the paper "Embedded Model Form Uncertainty Quantification with Measurement Noise for Bayesian Model Calibration". Tu generate the results and the paper end-to-end, install the environment from code/env.yml and run from the code folder doit -f dodo_master.py. Different parts to be run can be modified by changing the parameters in the respective dodo files.

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Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-06-23
DOI
https://doi.org/10.5281/zenodo.15720780
Citations
1
Primary Topic
Probabilistic and Robust Engineering Design
Type
article
Field-Weighted Citation Impact
1.40
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article

Embedded Model Form Uncertainty Quantification with Measurement Noise for Bayesian Model Calibration

1 citations
Zenodo (CERN European Organization for Nuclear Research)
Probabilistic and Robust Engineering Design
1.40
article

Embedded Model Form Uncertainty Quantification with Measurement Noise for Bayesian Model Calibration

article en
1 citations

Abstract

Implementation, data, results and manuscript for the generation of the paper "Embedded Model Form Uncertainty Quantification with Measurement Noise for Bayesian Model Calibration". Tu generate the results and the paper end-to-end, install the environment from code/env.yml and run from the code folder doit -f dodo_master.py. Different parts to be run can be modified by changing the parameters in the respective dodo files.

Zenodo (CERN European Organization for Nuclear Research)
Federal Institute For Materials Research and Testing (DE)
Openalex Percentile: Top 11%
Probabilistic and Robust Engineering Design
1.40
DOIOpen Access PDFOpenAlex
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Embedded Model Form Uncertainty Quantification with Measurement Noise for Bayesian Model Calibration · Zenodo (CERN European Organization for Nuclear Research) (2025) | TGRS Research Map | TGRS