After the Calibration: Interpretation, Reporting, Visualisation
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Publisher
Springer International Publishing
Link
https://link.springer.com/content/pdf/10.1007/978-3-031-66085-6_10
Reference15 articles.
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2. Gabry, J., Simpson, D., Vehtari, A., Betancourt, M., & Gelman, A. (2019). Visualization in Bayesian workflow. Journal of the Royal Statistical Society: Series A (Statistics in Society),182, 389–402. https://doi.org/10.1111/rssa.12378
3. Hjelkrem, A.-G.R., Höglind, M., van Oijen, M., Schellberg, J., Gaiser, T., & Ewert, F. (2017). Sensitivity analysis and Bayesian calibration for testing robustness of the BASGRA model in different environments. Ecological Modelling,359, 80–91. https://doi.org/10.1016/j.ecolmodel.2017.05.015
4. Hullman, J., Qiao, X., Correll, M., Kale, A., & Kay, M. (2019). In pursuit of error: A survey of uncertainty visualization evaluation. IEEE Transactions on Visualization and Computer Graphics,25, 903–913. https://doi.org/10.1109/TVCG.2018.2864889
5. Jaynes, E. T. (2003). Probability theory: The logic of science. Cambridge University Press.
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