Principal Boundary on Riemannian Manifolds
Author:
Affiliation:
1. Department of Statistics and Applied Probability, National University of Singapore, Singapore;
2. School of Mathematical Science, Zhejiang University, Hangzhou, China
Funder
Singapore Ministry of Education Academic Research
Publisher
Informa UK Limited
Subject
Statistics, Probability and Uncertainty,Statistics and Probability
Link
https://www.tandfonline.com/doi/pdf/10.1080/01621459.2019.1610660
Reference34 articles.
1. Nonparametric Bayes classification and hypothesis testing on manifolds
2. Hessian eigenmaps: Locally linear embedding techniques for high-dimensional data
3. Torus principal component analysis with applications to RNA structure
4. Riemannian geometry for the statistical analysis of diffusion tensor data
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