| 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 | 24 | 2022 |
| Likelihood-free parameter estimation with neural Bayes estimators M Sainsbury-Dale, A Zammit-Mangion, R Huser The American Statistician 78 (1), 1-14, 2024 | 18* | 2024 |
| FRK: Fixed Rank Kriging A Zammit-Mangion, M Sainsbury-Dale R package version 2.1.5, 2021 | 8 | 2021 |
| Neural Bayes estimators for censored peaks-over-threshold models J Richards, M Sainsbury-Dale, A Zammit-Mangion, R Huser arXiv preprint arXiv:2306.15642, 2023 | 7* | 2023 |
| 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 | 6 | 2024 |
| 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 | 5 | 2023 |
| Neural Methods for Amortised Parameter Inference A Zammit-Mangion, M Sainsbury-Dale, R Huser arXiv preprint arXiv:2404.12484, 2024 | | 2024 |
Andrew Zammit MangionUniversity of WollongongVerified email at uow.edu.au
