Principal Component Analysis for Functional Data on Riemannian Manifolds and Spheres

17 May 2017

Papers citing "Principal Component Analysis for Functional Data on Riemannian Manifolds and Spheres"

7 / 7 papers shown

Title
Principal Component Analysis in Space Forms Puoya Tabaghi Michael Khanzadeh Yusu Wang Sivash Mirarab 32 8 0 06 Jan 2023
Changes from Classical Statistics to Modern Statistics and Data Science Kai Zhang Shan-Yu Liu M. Xiong 39 0 0 30 Oct 2022
Exploratory Factor Analysis of Data on a Sphere Fan Dai K. Dorman Somak Dutta R. Maitra 16 1 0 09 Nov 2021
Additive Models for Symmetric Positive-Definite Matrices, Riemannian Manifolds and Lie groups Zhenhua Lin Hans-Georg Müller B. Park 16 7 0 18 Sep 2020
Intrinsic Riemannian Functional Data Analysis for Sparse Longitudinal Observations Lingxuan Shao Zhenhua Lin Fang Yao 13 18 0 16 Sep 2020
Inference for spherical location under high concentration D. Paindaveine Thomas Verdebout 61 11 0 02 Jan 2019
Nonlinear manifold representations for functional data Dong Chen Hans-Georg Müller 83 65 0 28 May 2012