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Testing Association between Mixed Type Outcomes and Covariates Jointly by the Use of a Latent Variable 期刊论文
SCIENTIFIC REPORTS, 2017, 卷号: 7, 期号: 8006, 页码: 10
作者:  Zhu, Jiayan;  Zhang, Wei;  Li, Qizhai;  Li, Zhengbang;  Zhu, Jiayan;  Zhang, Wei;  Li, Qizhai;  Li, Zhengbang
浏览  |  Adobe PDF(2766Kb)  |  收藏  |  浏览/下载：466/130  |  提交时间：2018/07/30
Simultaneous identification of diffusion coefficient, spacewise dependent source and initial value for one-dimensional heat equation 期刊论文
MATHEMATICAL METHODS IN THE APPLIED SCIENCES, 2017, 卷号: 40, 期号: 10, 页码: 3552-3565
作者:  Zhao, Zhi-Xue;  Banda, Mapundi K.;  Guo, Bao-Zhu
浏览  |  Adobe PDF(475Kb)  |  收藏  |  浏览/下载：529/165  |  提交时间：2018/07/30
Inverse Problem  Matrix Pencil Method  Finite Difference Method  Truncated Singular Value Decomposition  Generalized Cross-validation  
Effects of HIV infection on CD4+ T-cell population based on a fractional-order model 期刊论文
ADVANCES IN DIFFERENCE EQUATIONS, 2017, 卷号: 92, 期号: 2017, 页码: 1-14
作者:  Sadia,Arshad;  Dumitru,Baleanu;  Weiping Bu;  Yifa Tang(唐贻发)
浏览  |  Adobe PDF(2133Kb)  |  收藏  |  浏览/下载：444/126  |  提交时间：2018/07/19
Fractional Derivative  Hiv Model  Finite Difference Scheme  Dynamical Analysis  
Stein type characterization for G-normal distributions 期刊论文
ELECTRONIC COMMUNICATIONS IN PROBABILITY, 2017, 卷号: 22, 页码: 12
作者:  Hu, Mingshang;  Peng, Shige;  Song, Yongsheng
收藏  |  浏览/下载：141/0  |  提交时间：2018/07/30
G-normal distribution  Stein type characterization  G-expectation  
Innovation Governs Everything Eventually: Extensions of the DeGroot Model 期刊论文
Acta Mathematicae Applicatae Sinica, 2017, 卷号: 33, 期号: 1, 页码: 35
作者:  Yang Mingmin;  Qu Xinglong;  Cao Zhigang;  Yang Xiaoguang
收藏  |  浏览/下载：98/0  |  提交时间：2018/07/30
Robust two-stage stochastic linear optimization with risk aversion 期刊论文
EUROPEAN JOURNAL OF OPERATIONAL RESEARCH, 2017, 卷号: 256, 期号: 1, 页码: 215-229
作者:  Ling, Aifan;  Sun, Jie;  Xiu, Naihua;  Yang, Xiaoguang
收藏  |  浏览/下载：120/0  |  提交时间：2018/07/30
Uncertainty modeling  Stochastic programming  Robust optimization  Conditional value-at-risk  Semidefinite programming