Research

Shape analysis; object oriented data analysis; manifold-valued data analysis; functional data analysis; networks; spatial statistics and statistical image analysis.

Books

Some recent publications

  • Severn, K. E., Dryden, I. L. and Preston, S. P. (2022). Manifold valued data analysis of samples of networks, with applications in corpus linguistics. Annals of Applied Statistics. To appear.
  • Seymour, R.G., Sirl, D., Preston, S.P., Dryden, I.L., Ellis, M.J.A, Perrat, B. and Goulding, J. (2021). The Bayesian spatial Bradley–Terry model: urban deprivation modelling in Tanzania. Journal of the Royal Statistical Society, Series C (Applied Statistics)https://rss.onlinelibrary.wiley.com/doi/10.1111/rssc.12532
  • Severn, K. E., Dryden, I. L. and Preston, S. P. (2021). Non-parametric regression for networks. Stat 10, e373 https://doi.org/10.1002/sta4.373
  • Kim, K., Dryden, I.L., Le, H. and Severn, K.E. (2021). Smoothing splines on Riemannian manifolds, with applications to 3D shape space. Journal of the Royal Statistical Society, Series B (Methodology). 83, 108–132. https://doi.org/10.1111/rssb.12402
  • Dryden, I.L., Kume, A., Paine, P.J. and Wood, A.T.A. (2021). Regression modelling for size-and-shape data based on a Gaussian model for landmarks. Journal of the American Statistical Association 116, 1011–1022.  https://doi.org/10.1080/01621459.2020.1724115
  • Dryden, I.L. (2021). shapes package, R Foundation for Statistical Computing, Vienna, Austria, Contributed package. Version 1.2.6, March 31, 2021. https://cran.r-project.org/web/packages/shapes/index.html
  • Louison, K. A., Dryden, I. L., and Laughton, C. A. (2021). GLIMPS: A Machine Learning Approach to Resolution Transformation for Multiscale Modeling. Journal of Chemical Theory and Computation 17, 12, 7930–7937 https://doi.org/10.1021/acs.jctc.1c00735
  • Dryden, I.L., Kim, K., Laughton, C.A. and Le, H. (2019). Principal nested shape space analysis of molecular dynamics data. Annals of Applied Statistics, 13, 2213–2234. https://doi.org/10.1214/19-AOAS1277
  • Dryden, I.L., Kim, K. and Le, H. (2019). Bayesian linear size-and-shape regression with applications to face data. Sankhya A, 81, 83–103. https://doi.org/10.1007/s13171-018-0136-8

Links to citations and technical reports

Google Scholar

arXiv

shapes software

shapes demo