Unweighted estimation based on optimal sample under measurement constraints-Reference-Cited by-同舟云学术

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Unweighted estimation based on optimal sample under measurement constraints

Published:2022-12-23 Issue: Volume: Page:
ISSN:0319-5724
Container-title:Canadian Journal of Statistics
language:en
Short-container-title:Can J Statistics

Author:

Wang Jing¹²³,Wang HaiYing³^ORCID,Xiong Shifeng¹

Affiliation:

1. NCMIS, KLSC Academy of Mathematics and Systems Science, CAS Beijing 100190 China

2. School of Mathematical Sciences University of Chinese Academy of Sciences Beijing 100049 China

3. Department of Statistics University of Connecticut Storrs 06269 Connecticut USA

Funder

National Science Foundation

National Natural Science Foundation of China

Publisher

Wiley

Subject

Statistics, Probability and Uncertainty,Statistics and Probability

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/cjs.11753

Reference18 articles.

1. Optimal subsampling algorithms for big data regressions;Ai M.;Statistica Sinica,2021

2. Information-based optimal subdata selection for big data logistic regression

3. Faster least squares approximation

4. Drineas P. Mahoney M. W. &Muthukrishnan S. (2006).Sampling algorithms forl2regression and applications. InProceedings of the Seventeenth Annual ACM‐SIAM symposium on Discrete algorithm Society for Industrial and Applied Mathematics 1127–1136.

5. Local case-control sampling: Efficient subsampling in imbalanced data sets

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1. Optimal decorrelated score subsampling for high-dimensional generalized linear models under measurement constraints;Journal of Computational and Graphical Statistics;2024-09-12

2. The A-optimal subsampling approach to the analysis of count data of massive size;Journal of Nonparametric Statistics;2024-07-30

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