| Deep compositional spatial models A Zammit-Mangion, TLJ Ng, Q Vu, M Filippone Journal of the American Statistical Association 117, 1787-1808, 2022 | 74 | 2022 |
| Modeling nonstationary and asymmetric multivariate spatial covariances via deformations Q Vu, A Zammit-Mangion, N Cressie Statistica Sinica 32, 2071-2093, 2022 | 12 | 2022 |
| Constructing large nonstationary spatio-temporal covariance models via compositional warpings Q Vu, A Zammit-Mangion, SJ Chuter Spatial Statistics 54, 100742, 2023 | 5 | 2023 |
| Warped Gradient-Enhanced Gaussian Process Surrogate Models for Exponential Family Likelihoods with Intractable Normalizing Constants Q Vu, MT Moores, A Zammit-Mangion Bayesian Analysis 1 (1), 1-25, 2023 | 3* | 2023 |
| Discussion on “Competition on spatial statistics for large datasets” Q Vu, Y Cao, J Jacobson, AR Pearse, A Zammit-Mangion Journal of Agricultural, Biological and Environmental Statistics 26, 614-618, 2021 | 1 | 2021 |
| Random Effects Misspecification and its Consequences for Prediction in Generalized Linear Mixed Models Q Vu, FKC Hui, S Muller, AH Welsh arXiv preprint arXiv:2411.19384, 2024 | | 2024 |
| Spatial confounding in joint species distribution models FKC Hui, Q Vu, MB Hooten Methods in Ecology and Evolution 15 (10), 1906-1921, 2024 | | 2024 |