Robust functional principal component analysis for non-Euclidean random objects
Xu, J., Wood, A. T. A., & Zou, T. (2025) Biometrika, 2025, asaf040
'Penalized Sparse Covariance Regression with High Dimensional Covariates
Gao, Y., Zhang, Z., Cai, Z., Zhu, X., Zou, T. & Wang, H. (2024), Forthcoming in Journal of Business & Economic Statistics
Identifying the structure of high-dimensional time series via eigen-analysis
Zhang, B., Gao, J., Pan, G., & Yang, Y. (2025). Forthcoming in The Journal of the American Statistical Association
Quasi-Score Matching Estimation for Spatial Autoregressive Model with Random Weights Matrix and Regressors
Liang, X. & Zou, T. (2025) Forthcoming in the Journal of Business & Economic Statistics
Random effects model-based sufficient dimension reduction for independent clustered data
Nghiem, L.H. & Hui, F.K.C. (2025). Forthcoming in the Journal of the American Statistical Association.
Robust functional principal component analysis for non-Euclidean random objects
Xu, J., Wood, A. T. A., & Zou, T. (2025) Biometrika, 2025, asaf040
Penalized Sparse Covariance Regression with High Dimensional Covariates
Gao, Y., Zhang, Z., Cai, Z., Zhu, X., Zou, T. & Wang, H. (2024), Forthcoming in Journal of Business & Economic Statistics
Identifying the structure of high-dimensional time series via eigen-analysis
Zhang, B., Gao, J., Pan, G., & Yang, Y. (2025). Forthcoming in The Journal of the American Statistical Association
Fixed and Random Covariance Regression Analyses
Zou, T., Lan, W., Li, R. & Tsai, C.-L. (2025). Forthcoming in Annals of Statistics
Asymptotics of the Allele Frequency Spectrum and the Number of Alleles
Maller, R., and Shemehsavar, S. (2025). Forthcoming in the Journal of Applied Probability.
Second term improvement to generalised linear mixed model asymptotics
Maestrini, L., Bhaskaran, A. and Wand, M. P. (2024). Biometrika 111, 1077-1084
Central limit theorem for intrinsic Frechet means in smooth compact Riemannian manifolds
Hotz, T., Le, Huiling and Wood, A.T.A. (2024). Probability Theory and Related Fields 198, 1219-1246.
Homogeneity pursuit and variable selection in regression models for multivariate abundance data
Hui, F.K.C., Maestrini, L., and Welsh, A.H. (2024). Biometrics 80, ujad001.
Robust score matching for compositional data
Scealy, J.L., Hingee, K., Kent, J.T. and Wood, A.T.A. (2024). Statistics and Computing 34, paper 93.
Sphractal: estimating the fractal dimension of surfaces computed from precise atomic coordinates via a box-counting algorithm
Ting, J.Y.C., Wood, A.T.A. and Barnard, A.S. (2024). Advanced Theory and Simulations 7, 2301227
Predicting niche overlap with model-based ordination
Veen, B., O'Hara, R.B., Hui, F.K.C., and Hovstad, K.A. (2024). Ecography 2024, e06938.
A Plot is Worth a Thousand Tests: Assessing Residual Diagnostics with the Lineup Protocol
Li, W., Cook, D., Tanaka, E., and VanderPlas, S. (2024). Journal of Computational and Graphical Statistics 33, 1497-1511
GEE-assisted forward regression for spatial latent variable models
Hui, F.K.C., Mueller, S., and Welsh, A.H. (2021). Journal of the American Statistical Association 118, 1252-1262
Regression modelling for size-and-shape data based on a Gaussian model for landmarks
Dryden, I.L., Kume, A., Paine, P.J. and Wood, A.T.A. (2021) Journal of the American Statistical Association 116, 1011-1022.
Analogues on the sphere of the affine-equivariant spatial median
Scealy, J.L. and Wood, A.T.A. (2021). Journal of the American Statistical Association 116, 1457-1471.