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Highly structured data

[shape analysis, functional data analysis, image analysis, medical imaging]

Theme leader: Ian Dryden
Theme members: Dryden, Hitchcock, L.Wang

Some Publications

  • Kenobi, K., Dryden, I.L. and Le, H. (2010). Shape curves and geodesic modelling. Biometrika, 97, 567-584.
  • Dryden, I.L., Koloydenko, A. and Zhou, D. (2009). Non-Euclidean statistics for covariance matrices, with applications to diffusion tensor imaging. Annals of Applied Statistics, 3, 1102-1123.
  • Dryden, I.L., Kume, A., Le, H., and Wood, A. T.A. (2008). A multidimensional scaling approach to shape analysis. Biometrika. 95 779--798.
  • Kume, Alfred; Dryden, Ian L.; Le, Huiling Shape-space smoothing splines for planar landmark data. Biometrika 94 (2007), no. 3, 513--528.
  • Amaral, G. J. A.; Dryden, I. L.; Wood, Andrew T. A. Pivotal bootstrap methods for $k$-sample problems in directional statistics and shape analysis. J. Amer. Statist. Assoc. 102 (2007), no. 478, 695--707.
  • Dryden, Ian L.; Hirst, Jonathan D.; Melville, James L. Statistical analysis of unlabeled point sets: comparing molecules in chemoinformatics. Biometrics 63 (2007), no. 1, 237--251, 315.
  • Dryden, Ian L. Statistical analysis on high-dimensional spheres and shape spaces. Ann. Statist. 33 (2005), no. 4, 1643--1665.
  • Hitchcock, David B.; Casella, George; Booth, James G. Improved estimation of dissimilarities by presmoothing functional data. J. Amer. Statist. Assoc. 101 (2006), no. 473, 211--222.
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