| Optimal selection of expert forecasts with integer programming D Matsypura, R Thompson, AL Vasnev Omega 78, 165-175, 2018 | 25 | 2018 |
| Robust subset selection R Thompson Computational Statistics & Data Analysis 169, 107415, 2022 | 12 | 2022 |
| The contextual lasso: Sparse linear models via deep neural networks R Thompson, A Dezfouli Advances in Neural Information Processing Systems 36, 2024 | 3 | 2024 |
| gmmsslm: Semi-supervised gaussian mixture modeling with a missing data mechanism in R Z Lyu, D Ahfock, R Thompson, GJ McLachlan arXiv e-prints, arXiv: 2302.13206, 2023 | 2 | 2023 |
| Contextual directed acyclic graphs R Thompson, EV Bonilla, R Kohn International Conference on Artificial Intelligence and Statistics, 2872-2880, 2024 | 1 | 2024 |
| Familial inference: Tests for hypotheses on a family of centres R Thompson, CS Forbes, SN MacEachern, M Peruggia Biometrika, asad074, 2023 | 1 | 2023 |
| Group selection and shrinkage: Structured sparsity for semiparametric models R Thompson, F Vahid arXiv preprint arXiv:2105.12081, 2021 | 1 | 2021 |
| Flexible global forecast combinations R Thompson, Y Qian, AL Vasnev Omega 126, 103073, 2024 | | 2024 |
| Semi‐supervised Gaussian mixture modelling with a missing‐data mechanism in R Z Lyu, D Ahfock, R Thompson, GJ McLachlan Australian & New Zealand Journal of Statistics, 2024 | | 2024 |
| Group Selection and Shrinkage: Structured Sparsity for Semiparametric Additive Models R Thompson, F Vahid Journal of Computational and Graphical Statistics, 1-12, 2024 | | 2024 |
| Global combinations of expert forecasts Y Qian, R Thompson, AL Vasnev arXiv preprint arXiv:2207.07318, 2022 | | 2022 |
| Methodological advances in high-and infinite-dimensional statistics RW THOMPSON Monash University, 2022 | | 2022 |
