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The importance of uncertainty quantification in model reproducibility
Many computer models possess high-dimensional input spaces and substantial computational time to produce a single model evaluation. Although such models are often ‘deterministic’, these models suffer from a wide range of uncertainties. We argue that uncertainty quantification is crucial for computer...
Autores principales: | Volodina, Victoria, Challenor, Peter |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
The Royal Society Publishing
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8059558/ https://www.ncbi.nlm.nih.gov/pubmed/33775141 http://dx.doi.org/10.1098/rsta.2020.0071 |
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