| Likelihood-free parameter estimation with neural Bayes estimators M Sainsbury-Dale, A Zammit-Mangion, R Huser The American Statistician 78 (1), 1-14, 2024 | 42* | 2024 |
| Basis-function models in spatial statistics N Cressie, M Sainsbury-Dale, A Zammit-Mangion Annual Review of Statistics and Its Application 9, 373-400, 2022 | 40 | 2022 |
| Neural Bayes estimators for irregular spatial data using graph neural networks M Sainsbury-Dale, J Richards, A Zammit-Mangion, R Huser arXiv preprint arXiv:2310.02600, 2023 | 22 | 2023 |
| Neural Bayes estimators for censored inference with peaks-over-threshold models J Richards, M Sainsbury-Dale, A Zammit-Mangion, R Huser Journal of Machine Learning Research 25 (390), 1-49, 2024 | 20* | 2024 |
| Neural Methods for Amortized Inference A Zammit-Mangion, M Sainsbury-Dale, R Huser arXiv preprint arXiv:2404.12484, 2024 | 18* | 2024 |
| Modeling big, heterogeneous, non-gaussian spatial and spatio-temporal data using FRK M Sainsbury-Dale, A Zammit-Mangion, N Cressie Journal of Statistical Software 108, 1-39, 2024 | 11 | 2024 |
| FRK: Fixed Rank Kriging A Zammit-Mangion, M Sainsbury-Dale R package version 2.1.5, 2021 | 9 | 2021 |
| Neural Parameter Estimation with Incomplete Data M Sainsbury-Dale, A Zammit-Mangion, N Cressie, R Huser arXiv preprint arXiv:2501.04330, 2025 | | 2025 |
| Efficient Inference for Spatial and Spatio-Temporal Statistical Models Using Basis-Function and Deep-Learning Methods M Sainsbury-Dale Bulletin of the Australian Mathematical Society, 1-2, 2024 | | 2024 |
Andrew Zammit MangionUniversity of WollongongVerificeret mail på uow.edu.au