Contact

• workRoom B37 The Mathematical Sciences Building
  University Park
  Nottingham
  NG7 2RD
  UK
• work0115 9514927
• fax0115 9513837
• simon.preston@nottingham.ac.uk
• http://www.maths.nottingham.ac.uk/personal/spp

Recent Publications

• SEVERN, K. E., DRYDEN, I. L. and PRESTON, S. P., 2021. Non-parametric regression for networks Stat. 10(1),
• LU, K. W., PAINE, P. J., PRESTON, S. P. and WOOD, A. T. A., 2021. Approximate Maximum Likelihood Estimation for 1D Diffusions Observed on a Fine Grid Scandinavian Journal of Statistics. (In Press.)
• SEVERN, K. E., DRYDEN, I. L. and PRESTON, S. P., 2021. Manifold valued data analysis of samples of networks, with applications in corpus linguistics Annals of Applied Statistics. (In Press.)
• 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. 153-165

• View all publications

• SEVERN, K. E., DRYDEN, I. L. and PRESTON, S. P., 2021. Manifold valued data analysis of samples of networks, with applications in corpus linguistics Annals of Applied Statistics. (In Press.)
• LU, K. W., PAINE, P. J., PRESTON, S. P. and WOOD, A. T. A., 2021. Approximate Maximum Likelihood Estimation for 1D Diffusions Observed on a Fine Grid Scandinavian Journal of Statistics. (In Press.)
• SEVERN, K. E., DRYDEN, I. L. and PRESTON, S. P., 2021. Non-parametric regression for networks Stat. 10(1),
• BASKIN, T. I., PRESTON, S. P., ZELINSKY, E., YANG, X., ELMALI, M., BELLOS, D., WELLS, D. M. and BENNETT, MALCOLM J., 2020. Positioning the Root Elongation Zone Is Saltatory and Receives Input from the Shoot iScience. 23(7),
• HAQUE, M., KING, J. R., PRESTON, S. P., LOOSE, M. and DE POMERAI, DAVID, 2020. Mathematical modelling of a microRNA-regulated gene network in Caenorhabditis elegans Mathematical Biosciences and Engineering. 17(4), 2881-2904
• 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. 153-165
• OGUNSHEMI, A., HOPERAFT, K., I. and PRESTON, S. P., 2019. Lacunarity of the zero crossings of Gaussian processes Physical Review E. 99(6),
• CARSON, J., CRUCIFIX, M., PRESTON, S. P. and WILKINSON, R. D., 2019. Quantifying age and model uncertainties in palaeoclimate data and dynamical climate models with a joint inferential analysis Proceedings of the Royal Society A. 475(2224),
• CARRINGTON, R. J., BHARATH, K. and PRESTON, SIMON, 2019. Invariance and identifiability issues for word embeddings Advances in Neural Information Processing Systems 32 (NeurIPS 2019).
• RETKUTE, R., TOWNSEND, A. J., MURCHIE, E. H., JENSEN, O. E. and PRESTON, S. P., 2018. Three-dimensional plant architecture and sunlit-shaded patterns: a stochastic model of light dynamics in canopies Annals of Botany. 122(2), 291-302
• BAND, L. R. and PRESTON, S. P., 2018. Parameter inference to motivate asymptotic model reduction: An analysis of the gibberellin biosynthesis pathway Journal of Theoretical Biology. 457, 66-78
• REDDY, L., PRESTON, S. P., SHIPWAY, P. H., DAVIS, C. and HUSSAIN, T., 2018. Process parameter optimisation of laser clad iron based alloy: Predictive models of deposition efficiency, porosity and dilution: Surface and Coatings Technology Surface and Coatings Technology. 349, 198-207
• PAINE, P.J., PRESTON, S.P., TSAGRIS, M. and WOOD, A.T.A., 2017. An elliptically symmetric angular Gaussian distribution Statistics and Computing. 1-9
• CARSON, J., CRUCIFIX, M., PRESTON, S.P. and WILKINSON, R.D., 2017. Bayesian model selection for the glacial-interglacial cycle Journal of the Royal Statistical Society, Series C.
• TSAGRIS, M., PRESTON, S.P. and WOOD, A.T.A., 2017. Nonparametric hypothesis testing for equality of means on the simplex Journal of Statistical Computation and Simulation. 87(2), 406-422
• DRYDEN, IL, LE, H, PRESTON, SP and WOOD, ATA, 2016. Nonparametric Statistical Methods on Manifolds. In: Rabi N. Bhattacharya Springer. 587-597
• PAPANIKOLAOU, NE, WILLIAMS, H, DEMIRIS, N, PRESTON, SP, MILONAS, PG and KYPRAIOS, T, 2016. Bayesian inference and model choice for Holling’s disc equation: a case study on an insect predator-prey system Community Ecology. 17(1), 71-78
• GOULDING, J, PRESTON, S.P. and SMITH, G, 2016. Event Series Prediction via Non-homogeneous Poisson Process Modelling In: IEEE International Conference on Data Mining (ICDM).
• BURGESS AJ, RETKUTE R, PRESTON SP, JENSEN OE, POUND MP, PRIDMORE TP and MURCHIE EH, 2016. The 4-Dimensional Plant: Effects of Wind-Induced Canopy Movement on Light Fluctuations and Photosynthesis. Frontiers in Plant Science. 7, 1392
• PAPANIKOLAOU, N.E., DEMIRIS, N., MILONAS, P.G., PRESTON, S.P. and KYPRAIOS, T., 2016. Does Mutual Interference Affect the Feeding Rate of Aphidophagous Coccinellids? A Modeling Perspective PLOS ONE. 11(1),
• TSAGRIS, M., PRESTON, S.P. and WOOD, A.T.A., 2016. Improved Classification for Compositional Data Using the Alpha-Transformation Journal of Classification. 33, 243-261
• BURGESS, A.J., RETKUTE, R., POUND, M.P., PRESTON, S.P., PRIDMORE, T.P., FOULKES, J., JENSEN, O.E. and MURCHIE, E.H., 2015. High-resolution 3D structural data quantifies the impact of photoinhibition on long term carbon gain in wheat canopies in the field. Plant physiology.
• RETKUTE, R., SMITH-UNNA, S., SMITH, R.W., BURGESS, A.J., JENSEN, O.E., JOHNSON, G.N., PRESTON, S.P. and MURCHIE, E.H., 2015. Exploiting heterogeneous environments: does photosynthetic acclimation optimize carbon gain in fluctuating light? Journal of Experimental Botany.
• WHITE, S.R., KYPRAIOS, T. and PRESTON, S.P., 2015. Piecewise Approximate Bayesian Computation: fast inference for discretely observed Markov models using a factorised posterior distribution Statistics and Computing. 25(2), 289-301
• DRYDEN, I.L., LE, H., PRESTON, S.P. and WOOD, A.T.A., 2014. Mean shapes, projections and intrinsic limiting distributions. Journal of Statistical Planning and Inference. 145, 25--32
• MAHLBERG, M., SMITH, C. and PRESTON, S., 2013. Phrases in literary contexts: patterns and distributions of suspensions in Dickens's novels International Journal of Corpus Linguistics. 18(1), 35-56
• HIRT, B. V., WATTIS, J. A. D. and PRESTON, S. P., 2013. Modelling the regulation of telomere length: the effects of telomerase and G-quadruplex stabilising drugs J. Math. Biol..
• KUME, A., PRESTON, S.P. and WOOD, A.T.A., 2013. Saddlepoint approximations for the normalizing constant of Fisher–Bingham distributions on products of spheres and Stiefel manifolds Biometrika. 100(4), 971-984
• HIRT, B.V., WATTIS, J.A.D., PRESTON, S.P. and LAUGHTON, C.A., 2012. The effects of a telomere destabilizing agent on cancer cell-cycle dynamics: integrated modelling and experiments Journal of Theoretical Biology. 295, 9–22
• PRESTON, S.P. and WOOD, A.T.A., 2012. Approximation of transition densities of stochastic differential equations by saddlepoint methods applied to small-time Ito-Taylor sample-path expansions Statistics and Computing. 22(1), 205-217
• HAQUE, M., SARWARDI, S., PRESTON, S. P. and VENTURINO, E., 2011. Effect of delay in a Lotka-Volterra type predator-prey model with a transmissible disease in the predator species Math. Biosciences. 234(1), 47-57
• PRESTON, S.P. and WOOD, A.T.A., 2011. Bootstrap inference for mean reflection shape and size-and-shape with three-dimensional landmark data Biometrika. 98(1), 49-63
• PRESTON, S.P. and WOOD, A.T.A., 2010. Two-sample bootstrap hypothesis tests for three-dimensional labelled landmark data Scandinavian Journal of Statistics, Theory and Applications. 37(4), 568-587
• PRESTON, S.P. and WOOD, A.T.A., 2009. Confidence regions in three-dimensional shape analysis In: 57th Session of the International Statistical Institute, Durban.
• PRESTON, S.P. and WOOD, A.T.A., 2009. On definitions of mean reflection shape In: 57th Session of the International Statistical Institute, Durban.
• PRESTON, S.P., JENSEN, O.E. and RICHARDSON, G., 2008. Buckling of an axisymmetric vesicle under compression: the effects of resistance to shear Quarterly Journal of Mechanics and Applied Mathematics. 61(1), 1-24
• PRESTON, S.P, WATERS, S.L, JENSEN, O.E, HEATON, P.R and PRITCHARD, D.I, 2006. T-cell motility in the early stages of the immune response modeled as a random walk amongst targets. Physical Review E: Statistical, Nonlinear, and Soft Matter Physics. 74(1), 011910