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Threshold autoregressive models for interval-valued time series data 期刊论文
JOURNAL OF ECONOMETRICS, 2018, 卷号: 206, 期号: 2, 页码: 414-446
作者:  Sun, Yuying;  Han, Ai;  Hong, Yongmiao;  Wang, Shouyang
收藏  |  浏览/下载:194/0  |  提交时间:2018/11/16
Asymmetric reaction  Interval-valued data  Minimum distance estimation  Nonlinearity  Symbolic data  Threshold autoregressive interval models  
A semi-heterogeneous approach to combining crude oil price forecasts 期刊论文
INFORMATION SCIENCES, 2018, 卷号: 460, 页码: 279-292
作者:  Wang, Jue;  Li, Xiang;  Hong, Tao;  Wang, Shouyang
收藏  |  浏览/下载:236/0  |  提交时间:2018/10/07
Crude oil price  Decomposition and reconstruction  Forecast combination  Model selection  
Analysis of crisis impact on crude oil prices: a new approach with interval time series modelling 期刊论文
QUANTITATIVE FINANCE, 2016, 卷号: 16, 期号: 12, 页码: 1917-1928
作者:  Yang, Wei;  Han, Ai;  Hong, Yongmiao;  Wang, Shouyang
收藏  |  浏览/下载:142/0  |  提交时间:2018/07/30
Interval dummy variable  Interval time series  Crisis  Crude oil prices  Speculation index  Range volatility  
Global economic activity and crude oil prices: A cointegration analysis 期刊论文
ENERGY ECONOMICS, 2010, 卷号: 32, 期号: 4, 页码: 868-876
作者:  He, Yanan;  Wang, Shouyang;  Lai, Kin Keung
收藏  |  浏览/下载:97/0  |  提交时间:2018/07/30
Global economic activity  Crude oil prices  Kilian economic index  Cointegration  ECM  
Interval Time Series Analysis with an Application to the Sterling-Dollar Exchange Rate 期刊论文
JOURNAL OF SYSTEMS SCIENCE & COMPLEXITY, 2008, 卷号: 21, 期号: 4, 页码: 558-573
作者:  Han, Ai;  Hong, Yongmiao;  Lai, K. K.;  Wang, Shouyang
收藏  |  浏览/下载:83/0  |  提交时间:2018/07/30
Evaluation criteria  interval-based estimation  interval linear model  interval statistics  interval stationarity  interval stochastic process  
A new approach for crude oil price analysis based on Empirical Mode Decomposition 期刊论文
ENERGY ECONOMICS, 2008, 卷号: 30, 期号: 3, 页码: 905-918
作者:  Zhang, Xun;  Lai, K. K.;  Wang, Shou-Yang
收藏  |  浏览/下载:96/0  |  提交时间:2018/07/30
Empirical Mode Decomposition  crude oil price  forecasting  composition  volatility