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Optimal Subsampling for Large Sample Logistic Regression 期刊论文
JOURNAL OF THE AMERICAN STATISTICAL ASSOCIATION, 2018, 卷号: 113, 期号: 522, 页码: 829-844
Authors:  Wang, HaiYing;  Zhu, Rong;  Ma, Ping
Favorite  |  View/Download:21/0  |  Submit date:2018/09/08
A-optimality  Logistic regression  Massive data  Optimal subsampling  Rare event  
Optimal Subsampling for Large Sample Logistic Regression 期刊论文
JOURNAL OF THE AMERICAN STATISTICAL ASSOCIATION, 2018, 卷号: 113, 期号: 522, 页码: 829
Authors:  Wang, HaiYing;  Zhu, Rong;  Ma, Ping
Favorite  |  View/Download:10/0  |  Submit date:2019/12/31
Linear Model Selection When Covariates Contain Errors 期刊论文
JOURNAL OF THE AMERICAN STATISTICAL ASSOCIATION, 2017, 卷号: 112, 期号: 520, 页码: 1553-1561
Authors:  Zhang, Xinyu;  Wang, Haiying;  Ma, Yanyuan;  Carroll, Raymond J.
Favorite  |  View/Download:7/0  |  Submit date:2018/07/30
Errors in covariates  Loss efficiency  Measurement error  Model selection  Selection consistency  
线性测量误差模型的平均估计 期刊论文
系统科学与数学, 2012, 卷号: 032, 期号: 001, 页码: 1
Authors:  王海鹰;  邹国华
Favorite  |  View/Download:4/0  |  Submit date:2020/01/10
Frequentist model averaging estimation: a review 期刊论文
JOURNAL OF SYSTEMS SCIENCE & COMPLEXITY, 2009, 卷号: 22, 期号: 4, 页码: 732-748
Authors:  Wang, Haiying;  Zhang, Xinyu;  Zou, Guohua
Favorite  |  View/Download:9/0  |  Submit date:2018/07/30
Adaptive regression  asymptotic theory  frequentist model averaging  model selection  optimality