All Outputs (2)

Smoothing splines on Riemannian manifolds, with applications to 3D shape space (2020)
Journal Article
Kim, K. R., Dryden, I. L., Le, H., & Severn, K. E. (2021). Smoothing splines on Riemannian manifolds, with applications to 3D shape space. Journal of the Royal Statistical Society: Series B, 83(1), 108-132. https://doi.org/10.1111/rssb.12402

© 2020 The Authors. Journal of the Royal Statistical Society: Series B (Statistical Methodology) published by John Wiley & Sons Ltd on behalf of Royal Statistical Society There has been increasing interest in statistical analysis of data lying in m... Read More about Smoothing splines on Riemannian manifolds, with applications to 3D shape space.

Regression modelling for size-and-shape data based on a Gaussian model for landmarks (2020)
Journal Article
Dryden, I. L., Kume, A., Paine, P. J., & 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(534), 1011-1022. https://doi.org/10.1080/01621459.2020.1724115

In this paper we propose a regression model for size-and-shape response data. So far as we are aware, few such models have been explored in the literature to date. We assume a Gaussian model for labelled landmarks; these landmarks are used to represe... Read More about Regression modelling for size-and-shape data based on a Gaussian model for landmarks.