Estimation and Inference for High-Dimensional Generalized Linear Models with Knowledge Transfer-Reference-Cited by-同舟云学术

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Estimation and Inference for High-Dimensional Generalized Linear Models with Knowledge Transfer

Published:2023-04-12 Issue: Volume: Page:1-12
ISSN:0162-1459
Container-title:Journal of the American Statistical Association
language:en
Short-container-title:Journal of the American Statistical Association

Author:

Li Sai¹,Zhang Linjun²^ORCID,Cai T. Tony³,Li Hongzhe⁴

Affiliation:

1. Institute of Statistics and Big Data, Renmin University of China, Beijing, China

2. Department of Statistics, Rutgers University, New Brunswick, NJ

3. Department of Statistics, The Wharton School, University of Pennsylvania, Philadelphia, PA

4. Department of Biostatistics, Epidemiology and Informatics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA

Funder

NIH

NSFC

NSF

National Institute of General Medical Sciences

National Science Foundation

Publisher

Informa UK Limited

Subject

Statistics, Probability and Uncertainty,Statistics and Probability

Link

https://www.tandfonline.com/doi/pdf/10.1080/01621459.2023.2184373

Reference51 articles.

1. Noisy matrix decomposition via convex relaxation: Optimal rates in high dimensions

2. Structure of the gut microbiome following colonization with human feces determines colonic tumor burden

3. Fixed Effects Testing in High-Dimensional Linear Mixed Models

4. Hazard rate ordering of the second-order statistics from multiple-outlier PHR samples

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