Publications
Vu, Q., Hui, F. K. C., Welsh, A. H., Muller, S., Cantoni, E., and Haak, C. R. A Single Index Approach to Integrated Species Distribution Modeling for Fisheries Abundance Data. Submitted [arXiv preprint, 2509.15379]
Vu, Q., Shao, X., Huser, R., and Zammit-Mangion, A. deepspat: An R Package for Modeling Nonstationary Spatial and Spatio-Temporal Gaussian and Extremes Data through Deep Deformations. Submitted [arXiv preprint, 2512.08137]
Vu, Q., Hui, F. K. C., Muller, S., Welsh, A. H. (2026). Random Effects Misspecification and its Consequences for Prediction in Generalized Linear Mixed Models. Computational Statistics and Data Analysis, 213, 108254.
Vu, Q., Moores, M. T., and Zammit-Mangion, A. (2025). Warped Gradient-Enhanced Gaussian Process Surrogate Models for Exponential Family Likelihoods with Intractable Normalizing Constants. Bayesian Analysis, 20, 435-459.
Hui, F. K. C., Vu, Q., Hooten, M. B. (2024). Spatial Confounding in Joint Species Distribution Models. Methods in Ecology and Evolution, 15, 1906–1921.
Vu, Q., Zammit-Mangion, A., and Chuter, S. J. (2023). Constructing Large Nonstationary Spatio-Temporal Covariance Models via Compositional Warpings. Spatial Statistics, 54, 100742.
Vu, Q., Zammit-Mangion, A., & Cressie, N. (2022). Modeling Nonstationary and Asymmetric Multivariate Spatial Covariances via Deformations. Statistica Sinica, 32, 2071-2093.
Zammit-Mangion, A., Ng, T. L. J., Vu, Q., & Filippone, M. (2022). Deep Compositional Spatial Models. Journal of the American Statistical Association, 117, 1787-1808.
Vu, Q., Cao, Y., Jacobson, J., Pearse, A. R., and Zammit-Mangion, A. (2021). Discussion on “Competition on Spatial Statistics for Large Datasets”. Journal of Agricultural, Biological, and Environmental Statistics, 26, 614-618.