The A-optimal subsampling approach to the analysis of count data of massive size-Reference-Cited by-同舟云学术

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The A-optimal subsampling approach to the analysis of count data of massive size

Published:2024-07-30 Issue: Volume: Page:1-29
ISSN:1048-5252
Container-title:Journal of Nonparametric Statistics
language:en
Short-container-title:Journal of Nonparametric Statistics

Author:

Tan Fei¹,Zhao Xiaofeng²,Peng Hanxiang¹

Affiliation:

1. Department of Mathematical Sciences, Indiana University Indianapolis, Indianapolis, IN, USA

2. School of Mathematics and Statistics, North China University of Water Resources and Electric Power, Zhengzhou City, Henan Province, People's Republic of China

Publisher

Informa UK Limited

Link

https://www.tandfonline.com/doi/pdf/10.1080/10485252.2024.2383307

Reference20 articles.

1. Regression Analysis of Count Data

2. Fast Monte Carlo Algorithms for Matrices I: Approximating Matrix Multiplication

3. Drineas P. Mahoney M.W. and Muthukrishnan S (2006b) ‘Sampling Algorithms for l2 Regression and Applications’ in Proceedings of the 17th Annual ACM-SIAM Symposium on Discrete Algorithms pp. 1127–1136.

4. Challenges of Big Data analysis

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