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Analyzing the co-movement and its spatial-temporal patterns in Chinese stock market 期刊论文
PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS, 2020, 卷号: 555, 页码: 14
作者:  Chen, Hanxiao;  Zheng, Xiaolong;  Zeng, Daniel Dajun
收藏  |  浏览/下载：180/0  |  提交时间：2020/07/20
Stock co-movement  Spatial-temporal patterns  Triangulated Maximally  Filtered Graph  Exponential weighted Pearson correlation  
Analyzing the co-movement and its spatial-temporal patterns in Chinese stock market 期刊论文
PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS, 2020, 卷号: 555, 页码: 14
作者:  Chen, Hanxiao;  Zheng, Xiaolong;  Zeng, Daniel Dajun
收藏  |  浏览/下载：190/0  |  提交时间：2020/07/20
Stock co-movement  Spatial-temporal patterns  Triangulated Maximally  Filtered Graph  Exponential weighted Pearson correlation  
Analyzing the dynamic sectoral influence in Chinese and American stock markets 期刊论文
PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS, 2019, 卷号: 536, 页码: 15
作者:  Tian, Hu;  Zheng, Xiaolong;  Zeng, Daniel Danjun
Adobe PDF(2694Kb)  |  收藏  |  浏览/下载：270/27  |  提交时间：2020/03/30
Sectoral influence  Multi-time scales  Causal network  Granger causality  Empirical mode decomposition  
A survey on big data-driven digital phenotyping of mental health 期刊论文
INFORMATION FUSION, 2019, 卷号: 52, 页码: 290-307
作者:  Liang, Yunji;  Zheng, Xiaolong;  Zeng, Daniel D.
收藏  |  浏览/下载：283/0  |  提交时间：2019/12/16
Digital phenotyping  Big data  Mental health  Data mining  Information fusion