Generalized matrix decomposition regression: Estimation and inference for two-way structured data-Reference-Cited by-同舟云学术

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Generalized matrix decomposition regression: Estimation and inference for two-way structured data

Published:2023-12-01 Issue:4 Volume:17 Page:
ISSN:1932-6157
Container-title:The Annals of Applied Statistics
language:
Short-container-title:Ann. Appl. Stat.

Author:

Wang Yue¹,Shojaie Ali²,Randolph Timothy³,Knight Parker⁴,Ma Jing⁵

Affiliation:

1. Department of Biostatistics and Informatics, University of Colorado Anschutz Medical Campus

2. Department of Biostatistics, University of Washington

3. Clinical Research Division, Fred Hutchinson Cancer Center

4. Department of Biostatistics, Harvard University

5. Public Health Sciences Division, Fred Hutchinson Cancer Center

Publisher

Institute of Mathematical Statistics

Subject

Statistics, Probability and Uncertainty,Modeling and Simulation,Statistics and Probability

Reference56 articles.

1. Cook, R. D. (2007). Fisher lecture: Dimension reduction in regression. Statist. Sci. 22 1–26.

2. van de Geer, S. A. and Bühlmann, P. (2009). On the conditions used to prove oracle results for the Lasso. Electron. J. Stat. 3 1360–1392.

3. Javanmard, A. and Montanari, A. (2014a). Confidence intervals and hypothesis testing for high-dimensional regression. J. Mach. Learn. Res. 15 2869–2909.

4. Javanmard, A. and Montanari, A. (2014b). Hypothesis testing in high-dimensional regression under the Gaussian random design model: Asymptotic theory. IEEE Trans. Inf. Theory 60 6522–6554.

5. Zhao, S. and Shojaie, A. (2016). A significance test for graph-constrained estimation. Biometrics 72 484–493.

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