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Kernel reconstruction learning 期刊论文
NEUROCOMPUTING, 2023, 卷号: 522, 页码: 1-10
Authors:  Wu, Yun;  Xiong, Shifeng
Favorite  |  View/Download:126/0  |  Submit date:2023/02/07
Kernel method  Representer theorem  Interpolation  Classification  Density estimation  Sequential algorithm  
Unweighted estimation based on optimal sample under measurement constraints 期刊论文
CANADIAN JOURNAL OF STATISTICS-REVUE CANADIENNE DE STATISTIQUE, 2022, 页码: 19
Authors:  Wang, Jing;  Wang, HaiYing;  Xiong, Shifeng
Favorite  |  View/Download:112/0  |  Submit date:2023/02/07
Generalized linear models  massive data  martingale central limit theorem  
On construction of prediction intervals for heteroscedastic regression 期刊论文
COMMUNICATIONS IN STATISTICS-SIMULATION AND COMPUTATION, 2022, 页码: 26
Authors:  Wu, Yun;  Xiong, Shifeng
Favorite  |  View/Download:88/0  |  Submit date:2023/02/07
Interpolation  Kernel method  Large data  Reconstruction parameterization  
Adaptive subsample estimation for multivariate normal distributions 期刊论文
COMMUNICATIONS IN STATISTICS-SIMULATION AND COMPUTATION, 2022, 页码: 8
Authors:  Wu, Xi;  Mu, Weiyan;  Xiong, Shifeng;  Li, Xinmin
Favorite  |  View/Download:190/0  |  Submit date:2022/04/29
Kolmogorov-Smirnov statistic  Minimum covariance determinant  Minimum distance estimation  Robust estimation  Subsample selection  
Statistical estimation in passenger-to-train assignment models based on automated data 期刊论文
APPLIED STOCHASTIC MODELS IN BUSINESS AND INDUSTRY, 2021, 页码: 21
Authors:  Xiong, Shifeng;  Li, Chunya;  Sun, Xuan;  Qin, Yong;  Wu, Chien-Fu Jeff
Favorite  |  View/Download:137/0  |  Submit date:2022/04/02
EM algorithm  Gaussian process interpolation  nonparametric density estimation  passenger flow  spline  
Linear screening for high-dimensional computer experiments 期刊论文
STAT, 2021, 卷号: 10, 期号: 1, 页码: 9
Authors:  Li, Chunya;  Chen, Daijun;  Xiong, Shifeng
Favorite  |  View/Download:118/0  |  Submit date:2022/04/02
best linear approximation  best subset regression  nonlinear model  sure independence screening  
A sequential design strategy for integrating low-accuracy and high-accuracy computer experiments 期刊论文
COMMUNICATIONS IN STATISTICS-SIMULATION AND COMPUTATION, 2020, 页码: 8
Authors:  Li, Xinmin;  Wang, Xiao;  Xiong, Shifeng
Favorite  |  View/Download:191/0  |  Submit date:2021/04/26
Gaussian process model  Multi-fidelity  Optimal design  Space-filling design  
Bayesian integrative analysis for multi-fidelity computer experiments 期刊论文
JOURNAL OF APPLIED STATISTICS, 2019, 卷号: 46, 期号: 11, 页码: 1973-1987
Authors:  Wei, Yunfei;  Xiong, Shifeng
Favorite  |  View/Download:203/0  |  Submit date:2020/01/10
Correlated priors  Gaussian process  Kriging  penalization  uncertainty quantification  
Personalized optimization and its implementation in computer experiments 期刊论文
IISE TRANSACTIONS, 2019, 页码: 9
Authors:  Xiong, Shifeng
Favorite  |  View/Download:197/0  |  Submit date:2020/01/10
Environmental variable  expected improvement  Kriging  personalized decision  robust optimization  sequential design  
Some Notes on Concordance between Optimization and Statistics 期刊论文
MATHEMATICAL PROBLEMS IN ENGINEERING, 2019, 页码: 6
Authors:  Mu, Weiyan;  Wei, Qiuyue;  Xiong, Shifeng
Favorite  |  View/Download:175/0  |  Submit date:2019/03/05