Recent selected publications
Inference on Covariance-Mean Regression
Zou, T., Lan, W., Li, R. and Tsai, C.-L. Journal of Econometrics, forthcoming
Imputations for High Missing Rate Data in Covariates via Semi-supervised Learning Approach
Lan, W., Chen, X., Tsai, C.-L. and Zou, T. Journal of Business & Economic Statistics, forthcoming
Analogues on the sphere of the affine-equivariant spatial median
Scealy, J.L. and Wood, A.T.A. (2020) Journal of the American Statistical Association.
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. (2020) Journal of the American Statistical Association.
Estimation in linear errors-in-variables models with unknown error distribution
Nghiem, L., Byrd, M., and Potgieter, C. (2020) Biometrika.
On the use of penalized quasi-likelihood information criterion for generalized linear mixed models
Hui, F.K.C. (2020) Biometrika.
Assuming independence in spatial latent variable models: consequences and implications of misspecification
Hui, F.K.C., Hill, N.A., and Welsh, A.H. (2020) Biometrics.
Scaled von Mises-Fisher distributions and regression models for paleomagnetic directional data
Scealy, J. L. and Wood, A. T. A. (2019) Journal of the American Statistical Association.
Semiparametric regression using variational approximations
Hui, F.K.C., You, C., Shang H.L., and Mueller, S. (2019) Journal of the American Statistical Association.
Weak subordination of multivariate Lévy processes and variance generalised gamma convolutions
Buchmann, B., Lu, K. and Madan, D. (2019) Bernoulli.
Simulation-Selection-Extrapolation: Estimation in High-Dimensional Errors-in-Variables Models
Nghiem, L. and Potgieter, C. (2019) Biometrics.
Limiting saddlepoint relative errors in large deviation regions under purely Tauberian conditions
Butler, R. W. and Wood, A.T.A. (2019) Bernoulli.