个人简介 研究成果 研究项目
[11] 李木易、方颖。动态混合HGARCH模型的估计和预测。管理科学学报,2020, Vol(5), 1-12。
[10] 李木易。《时间序列分析》的理论基础与数据实践——浅谈本科实验教学和教学改革。经济资料译丛,2020, Vol 183, 61-66.
[9] Dong Li, Muyi Li* and Lianbin Zeng (2019). Simulation and application of subsampling for threshold autoregressive moving-average models. Communications in Statistics Simulation and Computation, DOI: 10.1080/03610918.2019.1699932
[8] Yan Han, Ying Yuan, Sha Cao, Muyi Li and Yong Zang. (2019). On the Use of Marker Strategy Design to Detect Predictive Marker Effect in Cancer Immunotherapy and Targeted Therapy. Statistics in Biosciences, 1-16.
[7] Shaojun Guo, Dong Li and Muyi Li* (2019). Strictly Stationarity Testing and GLAD estimation of Double AR Models. Journal of Econometrics, Vol 221(2), 319-337.
[6] C.W.S. Chen, Muyi Li, N.T.H.Nguyen and S.Sriboonchita (2017). On Asymmetric Market Model with Heteroscedasticity and Quantile Regression. Computational Economics, Vol 49:155-174.
[5] Muyi Li, Guodong Li and Wai Keung Li (2015). On a New Hyperbolic GARCH Model.Journal of Econometrics, Vol 189(2), 428-436.
[4] Dong Li, Muyi Li*, Wuqing Wu (2014). On Dynamics of Volatilities in Nonstationary GARCH Model. Statistics and Probability Letters. Vol 94, 86-90.
[3] Muyi Li and Yongxiang Huang (2014). Hilbert-Huang Transform based Multifractal Analysis of China Stock Market. Physica A: Statistical Mechanics and its Applications, 406, 222-229.
[2] Muyi Li*, Wai Keung Li and Guodong Li (2013). On Mixture Memory GARCHModels. Journal of Time Series Analysis, 34: 606-624. (Lead article in this issue)
Ø 国家自然科学基金面上项目(72073112):多维和高维白噪声检验:理论、方法及应用。主持,2021-2024,在研。
Ø 国家自然科学基金面上项目(71671150):基于长记忆和结构突变波动率建模的计量理论与应用研究。主持,2017-2020,在研。
Ø 国家自然科学基金青年项目(11301433):长记忆波动率模型的概率性质,统计推断及其应用研究。主持,2014-2016,已结题。
Ø 福建省自然科学基金青年项目(2014J05010):基于子抽样方法的门限模型统计推断研究。主持,2014-2016,已结题。
Ø 福建省社会科学基金项目(2013C056): 基于Whittle似然信息的长记忆时间序列和变点过程研究。主持,2013-2014,已结题。