| From inference to design: A comprehensive framework for uncertainty quantification in engineering with limited information A Gray, A Wimbush, M de Angelis, PO Hristov, D Calleja, E Miralles-Dolz, ... Mechanical Systems and Signal Processing 165, 108210, 2022 | 36 | 2022 |
| Is “no test is better than a bad test”? Impact of diagnostic uncertainty in mass testing on the spread of COVID-19 N Gray, D Calleja, A Wimbush, E Miralles-Dolz, A Gray, M De Angelis, ... PLoS one 15 (10), e0240775, 2020 | 35 | 2020 |
| Why the 1-Wasserstein distance is the area between the two marginal CDFs M De Angelis, A Gray arXiv preprint arXiv:2111.03570, 2021 | 11 | 2021 |
| Dependent possibilistic arithmetic using copulas A Gray, D Hose, M De Angelis, M Hanss, S Ferson International Symposium on Imprecise Probability: Theories and Applications …, 2021 | 9 | 2021 |
| ProbabilityBoundsAnalysis. jl: arithmetic with sets of distributions A Gray, S Ferson, E Patelli Proceedings of JuliaCon 1, 1, 2021 | 9 | 2021 |
| Probability bounds analysis for Python N Gray, S Ferson, M De Angelis, A Gray, FB de Oliveira Software Impacts 12, 100246, 2022 | 8 | 2022 |
| Distribution-free uncertainty propagation S Ferson, A Gray | 8 | 2021 |
| What’s Z− X, when Z= X+ Y? Dependency tracking in interval arithmetic with bivariate sets A Gray, M De Angelis, S Ferson, E Patelli | 6 | 2021 |
| Robust online updating of a digital twin with imprecise probability M de Angelis, A Gray, S Ferson, E Patelli Mechanical Systems and Signal Processing 186, 109877, 2023 | 4 | 2023 |
| Gaussian process regression models for the properties of micro-tearing modes in spherical tokamaks WA Hornsby, A Gray, J Buchanan, BS Patel, D Kennedy, FJ Casson, ... Physics of Plasmas 31 (1), 2024 | 3 | 2024 |
| Constructing consonant predictive beliefs from data with scenario theory M De Angelis, R Rocchetta, A Gray, S Ferson International Symposium on Imprecise Probability: Theories and Applications …, 2021 | 3 | 2021 |
| Bivariate dependency tracking in interval arithmetic A Gray, M De Angelis, E Patelli, S Ferson Mechanical Systems and Signal Processing 186, 109771, 2023 | 2 | 2023 |
| Distribution-free risk analysis A Gray, S Ferson, V Kreinovich, E Patelli International Journal of Approximate Reasoning 146, 133-156, 2022 | 2 | 2022 |
| Bayesian calibration and probability bounds analysis solution to the Nasa 2020 UQ challenge on optimization under uncertainty A Gray, A Wimbush, M De Angelis, PO Hristov, E Miralles-Dolz, D Calleja, ... Proceedings of the 30th European Safety and Reliability Conference and 15th …, 2020 | 2 | 2020 |
| Plasma Surrogate Modelling using Fourier Neural Operators V Gopakumar, S Pamela, L Zanisi, Z Li, A Gray, D Brennand, N Bhatia, ... arXiv preprint arXiv:2311.05967, 2023 | 1 | 2023 |
| Robust Probability Bounds Analysis for Failure Analysis under Lack of Data and Model Uncertainty A Lye, A Gray, M de Angelis, S Ferson | 1 | 2023 |
| Bounding failure probability with the SIVIA algorithm M De Angelis, A Gray Research Publishing, 2022 | 1 | 2022 |
| Correlated Boolean operators for uncertainty logic E Miralles-Dolz, A Gray, E Patelli, S Ferson International Conference on Information Processing and Management of …, 2022 | 1 | 2022 |
| Rigorous time evolution of p-boxes in non-linear ODEs A Gray, M Forets, C Schilling, L Benet, S Ferson European Conference on Safety and Reliability, 154-155, 2022 | 1 | 2022 |
| While, In General, Uncertainty Quantification (UQ) Is NP-Hard, Many Practical UQ Problems Can Be Made Feasible A Gray, S Ferson, O Kosheleva, V Kreinovich 2021 IEEE Symposium Series on Computational Intelligence (SSCI), 01-06, 2021 | 1 | 2021 |
