| [1] |
Gai Wei, Hu Jie.
Application of network vector autoregression model in volatility spillover analysis
[J]. Journal of University of Science and Technology of China, 2021, 51(6): 468-474.
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| [2] |
Guo Shiwei, Wang Zhanfeng, Wu Yaohua.
A manifold extended t-process regression
[J]. Journal of University of Science and Technology of China, 2021, 51(5): 382-389.
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| [3] |
Wu Jie, Zhou Jia, Zheng Zemin.
Subgroup analysis for multi-response regression
[J]. Journal of University of Science and Technology of China, 2021, 51(3): 216-227.
|
| [4] |
LI Yezhen, ZHANG Weiping.
A Cholesky factor model in correlation modeling for discrete longitudinal data
[J]. Journal of University of Science and Technology of China, 2020, 50(9): 1266-1276.
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| [5] |
ZHANG Zhiyuan,YE Wuyi.
Cryptocurrency risk measurement based on MIDAS-Expectile regression model
[J]. Journal of University of Science and Technology of China, 2020, 50(6): 860-872.
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| [6] |
XU Hongming.
Reduced rank regression based on hard-thresholding singular value penalization
[J]. Journal of University of Science and Technology of China, 2020, 50(2): 163-175.
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| [7] |
YE Wuyi, LI Yiwei, WU Zun.
Dynamic systematic tail risk measurement based on tail index regression
[J]. Journal of University of Science and Technology of China, 2020, 50(2): 176-184.
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| [8] |
Tang Li, Chen Yu∗ .
Lp quantile regression with realized measure
[J]. Journal of University of Science and Technology of China, 2020, 50(12): 1478-1487.
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| [9] |
YE Wuyi, MA Ronggui, WU Zun.
Dynamic correlation of quantile regression model based on smooth transition mechanism
[J]. Journal of University of Science and Technology of China, 2019, 49(8): 668-679.
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| [10] |
GOU Xiaoju, WANG Qian.
VaR estimation based on quantile regression forest and risk factors analysis
[J]. Journal of University of Science and Technology of China, 2019, 49(8): 635-644.
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| [11] |
.
Anticipated time-dependent backward stochastic evolution equations
[J]. Journal of University of Science and Technology of China, 2019, 49(3): 203-209.
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| [12] |
CUI Wenquan, YU Demei, CHENG Haoyang.
A non-iterative approach to kernel logistic regression for imbalanced data
[J]. Journal of University of Science and Technology of China, 2019, 49(12): 965-973.
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| [13] |
LIU Enjiang, SONG Yunsheng, LIANG Jiye,.
An accelerator for kernel ridge regression algorithms based on data partition
[J]. Journal of University of Science and Technology of China, 2018, 48(4): 284-289.
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| [14] |
YAN Fei, WANG Xiaodong.
Unsupervised feature selection method based on adaptive locality preserving projection
[J]. Journal of University of Science and Technology of China, 2018, 48(4): 290-297.
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| [15] |
HU Dahai, ZHANG Weiping.
Least product relative error estimation with right censoring
[J]. Journal of University of Science and Technology of China, 2017, 47(9): 755-761.
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