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ORCIDJinguan Lin
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2020 – today
- 2022
[j9]Xingcai Zhou, Jiangyan Wang, Hongxia Wang, Jinguan Lin:
Panel semiparametric quantile regression neural network for electricity consumption forecasting. Ecol. Informatics 67: 101489 (2022)- [j8]Jinyu Fu, Jinguan Lin:
Incorporating Variation and Quality of the Underlying Effects in Meta-Analysis. J. Syst. Sci. Complex. 35(6): 2381-2397 (2022) - 2020
- [j7]Aijun Yang, Yuzhu Tian, Yunxian Li, Jinguan Lin:
Sparse Bayesian variable selection in kernel probit model for analyzing high-dimensional data. Comput. Stat. 35(1): 245-258 (2020) - [j6]Guikai Hu, Jinguan Lin:
Performance of Preliminary Test Estimators for Error Variance Based on W, LR and LM Tests. J. Syst. Sci. Complex. 33(4): 1200-1211 (2020)
2010 – 2019
- 2017
- [j5]Aijun Yang, Xuejun Jiang, Lianjie Shu
, Jinguan Lin:
Bayesian variable selection with sparse and correlation priors for high-dimensional data analysis. Comput. Stat. 32(1): 127-143 (2017) - 2015
- [j4]Aijun Yang, Yunxian Li, Niansheng Tang, Jinguan Lin:
Bayesian variable selection in multinomial probit model for classifying high-dimensional data. Comput. Stat. 30(2): 399-418 (2015) - 2013
- [j3]Huixiu Zhao, Jinguan Lin:
An approximately optimal non-parametric procedure for analyzing exchangeable binary data with random cluster sizes. Comput. Stat. 28(5): 2029-2047 (2013) - [j2]Kongsheng Zhang, Jinguan Lin, Chao Huang:
Some New Results on Weighted Geometric mean for copulas. Int. J. Uncertain. Fuzziness Knowl. Based Syst. 21(2): 277-288 (2013) - 2012
- [j1]Huixiu Zhao, Jinguan Lin:
The large sample properties of the solutions of general estimating equations. J. Syst. Sci. Complex. 25(2): 315-328 (2012)
Coauthor Index
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