Publications(*Corresponding Author)
[1] Muyi Li and Ying Fang (2020). Dynamic Mixture HGARCH Model and its Application on Volatility Forecasting. Journal of Management in China, forthcoming.
[2] 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.
[3] 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.
[4] 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.
[5] 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.
[6] Muyi Li, Guodong Li and Wai Keung Li (2015). On a New Hyperbolic GARCH Model.Journal of Econometrics, Vol 189(2), 428-436.
[7] Dong Li, Muyi Li*, Wuqing Wu (2014). On Dynamics of Volatilities in Nonstationary GARCH Model. Statistics and Probability Letters. Vol 94, 86-90.
[8] 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.
[9] 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)
[10] Muyi Li, Guodong Li and Wai Keung Li (2011). Score Tests for Hyperbolic GARCH Models. Journal of Business and Economic Statistics, Vol 29(4):579-586.