Peizhi Li

Multifractal behavior of an air pollutant time series and the relevance to the predictability.

Yong Wang, Qingli Dong, Peizhi Li, 2017, Environmental pollution.

Time to delisted status for listed firms in Chinese stock markets: An analysis using a mixture cure model with time-varying covariates

Qingli Dong, Peizhi Li, Yingwei P Peng, 2021, J. Oper. Res. Soc..

A novel forecasting model based on a hybrid processing strategy and an optimized local linear fuzzy neural network to make wind power forecasting: A case study of wind farms in China

Qingli Dong, Yuhuan Sun, Peizhi Li, 2017 .

A novel high-order weighted fuzzy time series model and its application in nonlinear time series prediction

Ping Jiang, Peizhi Li, Qingli Dong, 2017, Appl. Soft Comput..

A support vector machine based semiparametric mixture cure model

Ping Jiang, Peizhi Li, Qingli Dong, 2019, Computational Statistics.

A novel hybrid strategy for PM2.5 concentration analysis and prediction.

Ping Jiang, Peizhi Li, Qingli Dong, 2017, Journal of environmental management.

The analysis and application of a new hybrid pollutants forecasting model using modified Kolmogorov-Zurbenko filter.

Peizhi Li, Yong Wang, Qingli Dong, 2017, The Science of the total environment.