Tianli Guo

发表

A New Hybrid Forecasting Approach Applied to Hydrological Data: A Case Study on Precipitation in Northwestern China

Yongjian Ding, Guimei Jiao, Tianli Guo, 2016 .

Groundwater Depth Forecasting Using Configurational Entropy Spectral Analyses with the Optimal Input

Tianli Guo, Songbai Song, Ji-xiang Shi, 2019, Ground water.

A time-varying autoregressive model for groundwater depth prediction

Tianli Guo, Songbai Song, Yating Yan, 2022, Journal of Hydrology.

Learning Mixture Structure on Multi-Source Time Series for Probabilistic Forecasting

Tianli Guo, 2023, ArXiv.

Two-stage hybrid model for hydrological series prediction based on a new method of partitioning datasets

Tianli Guo, Songbai Song, Han Xu, 2022, Journal of Hydrology.

Stochastic Volatility Modeling of Daily Streamflow Time Series

Gengxi Zhang, Tianli Guo, Songbai Song, 2022, Water Resources Research.

Hybrid model for daily runoff interval predictions based on Bayesian inference

Hanbing Xu, Tianli Guo, Songbai Song, 2023 .

A novel time-varying stepwise decomposition ensemble framework for forecasting nonstationary and nonlinear streamflow

Tianli Guo, Songbai Song, Ting Wei, 2023, Journal of Hydrology.