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Professor Andrew Wood

Professor Andrew Wood

Research School of Finance, Actuarial Studies & Statistics


Position:
Professor
Email: andrew.wood@anu.edu.au
Phone: +61 2 612 57373
Office: Room 3.58, CBE Bld (26C)

Research areas

Statistics in non-euclidean settings; Asymptotic theory and methods; Inference for stochastic differential equations; Aspects of computational statistics; Applications of statistics in the sciences and medicine.

Biography

Andrew Wood is Professor of Statistics. He has broad research interests within statistics, including: non-Euclidean statistics, especially directional statistics and statistical shape analysis; theoretical statistics, including asymptotic theory and methods; computational methods; and applications of statistics, especially in the sciences and medicine. Andrew's research has been supported by a number of grants, with significant funding from the UK research councils, the Engineering and Physical Sciences Research Council, and the Biotechnology and Biological Sciences Research Council. He has published frequently in the leading statistical journals including Journal of the American Statistical Association, Biometrika and Annals of Statistics. Andrew is a former Joint Editor of Journal of the Royal Statistical Society, Series B and a current Associate Editor of Biometrika.

View ORCID profile

 

Research publications

Recent Publications

Scealy, J.L. and Wood, A.T.A. (2020). Analogues on the sphere of the a fine-equivariant spatial median.  Accepted by Journal of the American Statistical Association

Dryden, I.L., Kume, A., Paine, P.J. and Wood, A.T.A. (2020). Regression modelling for size-and-shape data based on Gaussian models for landmarks. Accepted by Journal of the American Statistical Association.

Mitchell, E.G., Crout, N.M.J, Wilson, P., Wood, A.T.A. and Stupfler, G.  (2020).  Operating at the extreme: estimating the upper yield boundary of winter wheat production in commercial practice.  Royal Society Open Science 7, 191919.

Paine, P.J., Preston, S.P., Tsagris, M. and Wood, A.T.A. (2020). Spherical regression models with general covariates and anisotropic errors. Statistics and Computing.30, 153-165. 

Scealy, J.L. and Wood, A.T.A. (2019). Scaled von Mises-Fisher distributions and regression models for paleomagnetic directional data.  Journal of the American Statistical Association 114, 1547-1560.

Butler, R.W. and Wood, A.T.A. (2019). Limiting saddlepoint relative errors in large deviation regions under purely Tauberian conditions. Bernoulli 25, 3379-3399.

Pantazis, Y., Tsagris, M.T. and Wood, A.T.A. (2018). Gaussian asymptotic limits for the alpha transformation in the analysis of compositional data. Sankhya A 81, 63-82. Special Issue on "Statistical Analysis of Manifold Data". Guest Editor: Dr K. Bharath. 

Paine, P.J., Preston, S.P., Tsagris, M. and Wood, A.T.A. (2018). An elliptically symmetric angular Gaussian distribution. Statistics and Computing 28, 689-697.

Kenobi, K., Atkinson, J.A., Wells, D.M., Gaju, O., De Silva, J.G., Foulkes, M.J., Dryden,I.L., Wood, A.T.A. and Bennett, M.J. (2017). Linear discriminant analysis reveals differences in root architecture in wheat seedlings related to nitrogen uptake efficiency. Journal of Experimental Botany 68, 4969-4981. 

 

Research grants and awards

Selected Research Grants

Project Title: Statistical Analysis of Manifold-Valued Data.  2013-2016. 

Funding: from Engineering and Physical Sciences Research Council, UK.

 

Research engagement and outreach

Associate Editor of Biometrika since 2009 -

Joint Editor of Journal of the Royal Statistical Society, Series B (2004-2008)

Andrew returned to the ANU in 2020, having been a postdoc for 5 years here in the 1990s.  Previously he was Professor of Statistics at the University of Nottingham, UK, for 20 years, where he was Head of Statistics for 10 years and Deputy Head or Head of Mathematical Sciences for a further 5 years.

 

Teaching

Andrew is currently teaching Generalised Linear Modelling at the ANU.

 

Updated:   1 March 2017 / Responsible Officer:  CBE Communications and Outreach / Page Contact:  College Web Team