Smoothing Splines on Riemannian Manifolds, with Applications to 3D Shape Space

DOI10.1111/rssb.12402OpenAlexW3107825492WikidataQ115258363 ScholiaQ115258363MaRDI QIDQ5087394

Katie E. Severn, Huiling Le, Kwang-Rae Kim, Ian L. Dryden

Publication date: 11 July 2022

Published in: Journal of the Royal Statistical Society Series B: Statistical Methodology (Search for Journal in Brave)

Full work available at URL: https://arxiv.org/abs/1801.04978

zbMATH Keywords

geodesicparallel transportcubic splinetangent spacenon-parametric regressionwrappinglinear splineunrollingpeptideunwrapping

Mathematics Subject Classification ID

Statistics (62-XX)

Related Items (7)

Introduction to Riemannian Geometry and Geometric Statistics: From Basic Theory to Implementation with Geomstats ⋮ A constructive theory of shape ⋮ Numerical accuracy of ladder schemes for parallel transport on manifolds ⋮ Riemannian locally linear embedding with application to Kendall shape spaces ⋮ Numerical algorithms for spline interpolation on space of probability density functions ⋮ Parallel transport on Kendall shape spaces ⋮ A reduced parallel transport equation on Lie groups with a left-invariant metric

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