Torus principal component analysis with applications to RNA structure

Eltzner, B, Huckemann, S and Mardia, KV orcid.org/0000-0003-0090-6235 (2018) Torus principal component analysis with applications to RNA structure. Annals of Applied Statistics, 12 (2). pp. 1332-1359. ISSN 1932-6157

Abstract

Metadata

Authors/Creators:
Copyright, Publisher and Additional Information: (c) 2018 Institute of Mathematical Statistics. This is an author produced version of a paper accepted for publication in Annals of Applied Statistics. Uploaded in accordance with the publisher's self-archiving policy.
Keywords: Statistics on manifolds; tori deformation; directional statistics; dimension reduction; dihedral angles; fitting small spheres; principal nested; spheres analysis
Dates:
  • Published: 28 July 2018
  • Accepted: 17 October 2017
Institution: The University of Leeds
Academic Units: The University of Leeds > Faculty of Maths and Physical Sciences (Leeds) > School of Mathematics (Leeds) > Statistics (Leeds)
Depositing User: Symplectic Publications
Date Deposited: 25 Oct 2017 14:30
Last Modified: 10 Aug 2018 08:58
Status: Published
Publisher: Institute of Mathematical Statistics
Identification Number: https://doi.org/10.1214/17-AOAS1115

Share / Export

Statistics