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Journal of Computational and Graphical Statistics Volume 30, 2021 - Issue 3
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Algorithms, Sampling, and Simulation

LowCon: A Design-based Subsampling Approach in a Misspecified Linear Model

Cheng Menga Institute of Statistics and Big data, Renmin University of China, Beijing, China; View further author information
,
Rui Xieb Department of Statistics and Data Science, University of Central Florida, Orlando, FL; View further author information
,
Abhyuday Mandalc Department of Statistics, University of Georgia, Athens, GA; View further author information
,
Xinlian Zhangd Division of Biostatistics and Bioinformatics, University of California, San Diego, CAView further author information
,
Wenxuan Zhongc Department of Statistics, University of Georgia, Athens, GA; View further author information
&
Ping Mac Department of Statistics, University of Georgia, Athens, GA; Correspondence[email protected]
View further author information
Pages 694-708 | Received 20 Jan 2020, Accepted 14 Oct 2020, Published online: 11 Dec 2020

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Read on this site (3)

Haixiang Zhang, Lulu Zuo, HaiYing Wang & Liuquan Sun. (2023) Approximating Partial Likelihood Estimators via Optimal Subsampling. Journal of Computational and Graphical Statistics 0:0, pages 1-13.
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Yifu Li, Lening Wang, Xiaoyu Chen & Ran Jin. (2023) Distributed data filtering and modeling for fog and networked manufacturing. IISE Transactions 0:0, pages 1-12.
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Cheng Meng, Jun Yu, Yongkai Chen, Wenxuan Zhong & Ping Ma. (2022) Smoothing Splines Approximation Using Hilbert Curve Basis Selection. Journal of Computational and Graphical Statistics 31:3, pages 802-812.
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Articles from other publishers (11)

Rui Xie, Shuyang Bai & Ping Ma. (2023) Optimal sampling designs for multidimensional streaming time series with application to power grid sensor data. The Annals of Applied Statistics 17:4.
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Zheng Zhou, Zebin Yang, Aijun Zhang & Yongdao Zhou. (2023) Efficient Model-free Subsampling Method for Massive Data. Technometrics, pages 1-20.
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Amalan Mahendran, Helen Thompson & James M. McGree. (2023) A model robust subsampling approach for Generalised Linear Models in big data settings. Statistical Papers 64:4, pages 1137-1157.
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Jun Yu, Jiaqi Liu & HaiYing Wang. (2023) Information-based optimal subdata selection for non-linear models. Statistical Papers 64:4, pages 1069-1093.
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Ziyang Wang, HaiYing Wang & Nalini Ravishanker. (2023) Subsampling in Longitudinal Models. Methodology and Computing in Applied Probability 25:1.
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Jun Yu, Mingyao Ai & Zhiqiang Ye. (2023) A review on design inspired subsampling for big data. Statistical Papers.
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Si-Yu Yi & Yong-Dao Zhou. (2022) Model-free global likelihood subsampling for massive data. Statistics and Computing 33:1.
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Rakhi Singh & John Stufken. (2023) Subdata Selection With a Large Number of Variables. The New England Journal of Statistics in Data Science, pages 426-438.
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Jun Yu & HaiYing Wang. (2022) Subdata selection algorithm for linear model discrimination. Statistical Papers 63:6, pages 1883-1906.
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Tianzhen Wang & Haixiang Zhang. (2022) Optimal subsampling for multiplicative regression with massive data. Statistica Neerlandica 76:4, pages 418-449.
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Chenlu Shi & Boxin Tang. (2021) Model-Robust Subdata Selection for Big Data. Journal of Statistical Theory and Practice 15:4.
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