Publications
Selected publications
- Towards an automatic uncertainty compiler (Journal article - 2023)
- Probability bounds analysis for Python (Journal article - 2022)
- Is no test better than a bad test: Impact of diagnostic uncertainty on the spread of COVID-19 (vol 15, e0240775, 2020) (Journal article - 2021)
2024
Risk and Uncertainty Communication in Deployed AI-based Clinical Decision Support Systems: A scoping review
2023
Towards an automatic uncertainty compiler
Gray, N., de Angelis, M., & Ferson, S. (2023). Towards an automatic uncertainty compiler. INTERNATIONAL JOURNAL OF APPROXIMATE REASONING, 160. doi:10.1016/j.ijar.2023.108951
The Importance of Risk and Uncertainty for Humane Algorithms
Gray, N. (2023, May 30). The Importance of Risk and Uncertainty for Humane Algorithms.
2022
How High Is High Enough? Assessing Financial Risk for Vertical Farms Using Imprecise Probability
Baumont de Oliveira, F. J., Ferson, S., Dyer, R. A. D., Thomas, J. M. H., Myers, P. D., & Gray, N. G. (2022). How High Is High Enough? Assessing Financial Risk for Vertical Farms Using Imprecise Probability. SUSTAINABILITY, 14(9). doi:10.3390/su14095676
Probability bounds analysis for Python
Gray, N., Ferson, S., De Angelis, M., Gray, A., & de Oliveira, F. B. (2022). Probability bounds analysis for Python. Software Impacts, 100246. doi:10.1016/j.simpa.2022.100246
Singhing with confidence: visualising the performance of confidence procedures
Wimbush, A., Gray, N., & Ferson, S. (2022). Singhing with confidence: visualising the performance of confidence procedures. Journal of Statistical Computation and Simulation, 1-17. doi:10.1080/00949655.2022.2044814
2021
Is no test better than a bad test: Impact of diagnostic uncertainty on the spread of COVID-19 (vol 15, e0240775, 2020)
Gray, N., Calleja, D., Wimbush, A., Miralles-Dolz, E., Gray, A., De Angelis, M., . . . Ferson, S. (2021). Is no test better than a bad test: Impact of diagnostic uncertainty on the spread of COVID-19 (vol 15, e0240775, 2020). PLOS ONE, 16(2). doi:10.1371/journal.pone.0247129
2020
A Problem in the Bayesian Analysis of Data without Gold Standards
Gray, N., Angelis, M. D., Calleja, D., & Ferson, S. (2019). A Problem in the Bayesian Analysis of Data without Gold Standards. In Proceedings of the 29th European Safety and Reliability Conference (ESREL) (pp. 2628-2634). Research Publishing Services. doi:10.3850/978-981-11-2724-3_0458-cd
2019
COMPUTING WITH UNCERTAINTY: INTRODUCING PUFFIN THE AUTOMATIC UNCERTAINTY COMPILER
Gray, N., De Angelis, M., & Ferson, S. (2019). COMPUTING WITH UNCERTAINTY: INTRODUCING PUFFIN THE AUTOMATIC UNCERTAINTY COMPILER. In Proceedings of the 3rd International Conference on Uncertainty Quantification in Computational Sciences and Engineering (UNCECOMP 2019) (pp. 487-497). Institute of Structural Analysis and Antiseismic Research School of Civil Engineering National Technical University of Athens (NTUA) Greece. doi:10.7712/120219.6354.18702