Numerical Tolerance for Spectral Decompositions of Random Matrices and Applications to Network Inference-Reference-Cited by-同舟云学术

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Numerical Tolerance for Spectral Decompositions of Random Matrices and Applications to Network Inference

Published:2022-07-19 Issue:1 Volume:32 Page:145-156
ISSN:1061-8600
Container-title:Journal of Computational and Graphical Statistics
language:en
Short-container-title:Journal of Computational and Graphical Statistics

Author:

Athreya Avanti¹,Lubberts Zachary¹^ORCID,Priebe Carey E.¹,Park Youngser²,Tang Minh³,Lyzinski Vince⁴,Kane Michael⁵,Lewis Bryan W.⁶

Affiliation:

1. Department of Applied Mathematics and Statistics, Johns Hopkins University, Baltimore, MD

2. Center for Imaging Science, Johns Hopkins University, Baltimore, MD

3. Department of Statistics, North Carolina State University, Raleigh, NC

4. Department of Mathematics, University of Maryland, College Park, MD

5. Department of Biostatistics, Yale University, New Haven, CT

6. Independent Consultant

Funder

Defense Advanced Research Projects Agency

Publisher

Informa UK Limited

Subject

Statistics, Probability and Uncertainty,Discrete Mathematics and Combinatorics,Statistics and Probability

Link

https://www.tandfonline.com/doi/pdf/10.1080/10618600.2022.2082972

Reference32 articles.

1. Solving Sparse Linear Systems with Sparse Backward Error

2. Stopping Criteria for Iterative Solvers

3. A Limit Theorem for Scaled Eigenvectors of Random Dot Product Graphs

4. Faster Kernel Ridge Regression Using Sketching and Preconditioning

5. Augmented Implicitly Restarted Lanczos Bidiagonalization Methods

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