Department of Mathematical Sciences
 
simon-wood

Professor

4 West 5.14

Dept of Mathematical Sciences

Email: s.wood@bath.ac.uk

Personal homepage

 

Simon Wood

Profile

My main research interests are in smooth statistical regression modelling and statistical ecology. From 2013-17 I hold/held an EPSRC established career fellowship on the former. Up to date research information can be found on my home page, while a full list of publications is available on Google Scholar or below. Much of my research is related to the R software package mgcv for smooth regression modelling.

Publications

Wood, S. N., Li, Z., Shaddick, G. and Augustin, N. H., 2016. Generalized additive models for gigadata:modelling the UK black smoke network daily data. Journal of the American Statistical Association

Wood, S. N., 2015. Core Statistics. Cambridge University Press.

Wood, S. N., Goude, Y. and Shaw, S., 2015. Generalized additive models for large data sets. Journal of the Royal Statistical Society Series C-Applied Statistics, 64 (1), pp. 139-155.

Miller, D. L. and Wood, S. N., 2014. Finite area smoothing with generalized distance splines. Environmental and Ecological Statistics, 21 (4), pp. 715-731.

Pya, N. and Wood, S. N., 2014. Shape constrained additive models. Statistics and Computing

Peel, D., Bravington, M. V., Kelly, N., Wood, S. N. and Knuckey, I., 2013. A model-based approach to designing a fishery-independent survey. Journal of Agricultural Biological and Environmental Statistics, 18 (1), pp. 1-21.

Wood, S. N., 2013. On p-values for smooth components of an extended generalized additive model. Biometrika, 100 (1), pp. 221-228.

Augustin, N. H., Trenkel, V. M., Wood, S. N. and Lorance, P., 2013. Space-time modelling of blue ling for fisheries stock management. Environmetrics, 24 (2), pp. 109-119.

Wood, S. N., 2013. A simple test for random effects in regression models. Biometrika, 100 (4), pp. 1005-1010.

Zhou, K., Wood, S. N. and Owen, J. M., 2012. Statistical and theoretical models of ingestion through turbine rim seals. Journal of Turbomachinery: Transactions of the ASME, 135 (2), 021014.

Wood, S., 2012. mgcv:Mixed GAM Computation Vehicle with GCV/AIC/REML smoothness estimation.

Augustin, N., Sauleau, E.-A. and Wood, S., 2012. On quantile quantile plots for generalized linear models. Computational Statistics & Data Analysis, 56 (8), pp. 2404-2409.

Wood, S. N., Scheipl, F. and Faraway, J. J., 2012. Straightforward intermediate rank tensor product smoothing in mixed models. Statistics and Computing, 23 (3), pp. 341-360.

Marra, G. and Wood, S. N., 2011. Practical variable selection for generalized additive models. Computational Statistics & Data Analysis, 55 (7), pp. 2372-2387.

Marra, G. and Wood, S., 2011. Coverage properties of confidence intervals for generalized additive model components. Scandinavian Journal of Statistics, 39 (1), pp. 53-74.

Wood, S. N., 2011. Fast stable restricted maximum likelihood and marginal likelihood estimation of semiparametric generalized linear models. Journal of the Royal Statistical Society, Series B (Statistical Methodology), 73 (1), pp. 3-36.

Bernal, M., Stratoudakis, Y., Wood, S., Ibaibarriaga, L., Uriarte, A., Valdes, L. and Borchers, D., 2011. A revision of daily egg production estimation methods, with application to Atlanto-Iberian sardine. 1. Daily spawning synchronicity and estimates of egg mortality. ICES Journal of Marine Science, 68 (3), pp. 519-527.

Bernal, M., Stratoudakis, Y., Wood, S., Ibaibarriaga, L., Valdes, L. and Borchers, D., 2011. A revision of daily egg production estimation methods, with application to Atlanto-Iberian sardine. 2. Spatially and environmentally explicit estimates of egg production. ICES Journal of Marine Science, 68 (3), pp. 528-536.

Wood, S. N., 2010. Statistical inference for noisy nonlinear ecological dynamic systems. Nature, 466 (7310), pp. 1102-1104.

Augustin, N. H., Musio, M., von Wilpert, K., Kublin, E., Wood, S. N. and Schumacher, M., 2009. Modeling spatiotemporal forest health monitoring data. Journal of the American Statistical Association, 104 (487), pp. 899-911.

Low, C., Wood, S. N. and Nisbet, R. M., 2009. The effects of group size, leaf size, and density on the performance of a leaf-mining moth. Journal of Animal Ecology, 78 (1), pp. 152-160.

Wood, S. N., Bravington, M. V. and Hedley, S. L., 2008. Soap film smoothing. Journal of the Royal Statistical Society, Series B (Statistical Methodology), 70 (5), pp. 931-955.

Wood, S. N., 2008. Fast stable direct fitting and smoothness selection for generalized additive models. Journal of the Royal Statistical Society, Series B (Statistical Methodology), 70 (3), pp. 495-518.

This list was generated on Wed Oct 18 17:29:41 2017 IST.

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