Modeling sparse longitudinal data on Riemannian manifolds-Reference-Cited by-同舟云学术

Modeling sparse longitudinal data on Riemannian manifolds

Published:2020-10-28 Issue:4 Volume:77 Page:1328-1341
ISSN:0006-341X
Container-title:Biometrics
language:en
Short-container-title:Biometrics

Author:

Dai Xiongtao¹^ORCID,Lin Zhenhua²,Müller Hans‐Georg³

Affiliation:

1. Department of Statistics Iowa State University Ames Iowa

2. Department of Statistics and Applied Probability National University of Singapore Singapore

3. Department of Statistics University of California Davis California

Funder

Division of Mathematical Sciences

Publisher

Wiley

Subject

Applied Mathematics,General Agricultural and Biological Sciences,General Immunology and Microbiology,General Biochemistry, Genetics and Molecular Biology,General Medicine,Statistics and Probability

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1111/biom.13385

Reference47 articles.

1. Riemannian $L^{p}$ center of mass: Existence, uniqueness, and convexity

2. The Statistical Analysis of Compositional Data

3. Elastic Functional Coding of Riemannian Trajectories

4. Resting‐state network dysfunction in Alzheimer's disease: A systematic review and meta‐analysis

5. Nonparametric Inference on Manifolds

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