| UQpy: A general purpose Python package and development environment for uncertainty quantification A Olivier, D Giovanis, BS Aakash, M Chauhan, L Vandanapu, MD Shields Journal of Computational Science 47, 101204, 2020 | 84 | 2020 |
| A survey of unsupervised learning methods for high-dimensional uncertainty quantification in black-box-type problems K Kontolati, D Loukrezis, DG Giovanis, L Vandanapu, MD Shields Journal of Computational Physics 464, 111313, 2022 | 41 | 2022 |
| 3rd-order Spectral Representation Method: Simulation of multi-dimensional random fields and ergodic multi-variate random processes with fast Fourier transform implementation L Vandanapu, MD Shields Probabilistic Engineering Mechanics 64, 103128, 2021 | 12 | 2021 |
| Simulation of non-stationary and non-Gaussian random processes by 3rd-order Spectral Representation Method: Theory and POD implementation L Vandanapu, MD Shields Mechanical Systems and Signal Processing 178, 109150, 2022 | 11 | 2022 |
| Uqpy v4. 1: Uncertainty quantification with python D Tsapetis, MD Shields, DG Giovanis, A Olivier, L Novak, P Chakroborty, ... SoftwareX 24, 101561, 2023 | 10 | 2023 |
| 3rd-order Spectral Representation Method: Part I--Multi-dimensional random fields with fast Fourier transform implementation L Vandanapu, MD Shields arXiv preprint arXiv:1910.06420, 2019 | 6 | 2019 |
| Simulation of non-Gaussian wind field as a 3rd-order stochastic wave L Vandanapu, MD Shields Reliability Engineering & System Safety 245, 109960, 2024 | 4 | 2024 |
| 3rd-order Spectral Representation Method: Part II--Ergodic Multi-variate random processes with fast Fourier transform L Vandanapu, MD Shields arXiv preprint arXiv:1911.10251, 2019 | 4 | 2019 |
| Efficient simulation of higher-order non-Gaussian/non-stationary stochastic processes: An FFT approach L Vandanapu Johns Hopkins University, 2022 | 1 | 2022 |
| UQpy-Uncertainty Quantification with Python MD Shields, DG Giovanis, A Bangalore-Satish, M Chauhan, A Olivier, ... | 1 | 2018 |
