Valid two‐sample graph testing via optimal transport Procrustes and multiscale graph correlation with applications in connectomics-Reference-Cited by-同舟云学术

Valid two‐sample graph testing via optimal transport Procrustes and multiscale graph correlation with applications in connectomics

Published:2022-01 Issue:1 Volume:11 Page:
ISSN:2049-1573
Container-title:Stat
language:en
Short-container-title:Stat

Author:

Chung Jaewon¹^ORCID,Varjavand Bijan¹,Arroyo‐Relión Jesús²,Alyakin Anton³,Agterberg Joshua³,Tang Minh⁴,Priebe Carey E.³,Vogelstein Joshua T.¹

Affiliation:

1. Department of Biomedical Engineering Johns Hopkins University MD 21218 USA

2. Department of Statistics Texas A&M University College Station TX 77843 USA

3. Department of Applied Mathematics and Statistics Johns Hopkins University MD 21218 USA

4. Department of Statistics North Carolina State University NC 27695 USA

Funder

Air Force Research Laboratory

Defense Advanced Research Projects Agency

Microsoft Research

National Science Foundation

Publisher

Wiley

Subject

Statistics, Probability and Uncertainty,Statistics and Probability

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/sta4.429

Reference35 articles.

1. Agterberg J. Tang M. &Priebe C.(2020a).Nonparametric two‐sample hypothesis testing for random graphs with negative and repeated eigenvalues. arXiv preprint arXiv:2012.09828.

2. Agterberg J. Tang M. &Priebe C. E.(2020b).On two distinct sources of nonidentifiability in latent position random graph models. arXiv:2003.14250.

3. Alvarez‐Melis D. Jegelka S. &Jaakkola T. S.(2019).Towards optimal transport with global invariances. InThe 22nd International Conference on Artificial Intelligence and Statistics PMLR pp.1870–1879.

4. Alyakin A. A. Agterberg J. Helm H. S. &Priebe C. E.(2020).Correcting a nonparametric two‐sample graph hypothesis test for graphs with different numbers of vertices.

5. Inference for multiple heterogeneous networks with a common invariant subspace;Arroyo J.;Journal of Machine Learning Research,2019

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