2 papers
stat.CO2025
Computation for Epidemic Prediction with Graph Neural Network by Model Combination
Xiangxin Kong, Hang Wang, Yutong Li +2
Modelling epidemic events such as COVID-19 cases in both time and space dimensions is an important but challenging task. Building on in-depth review and assessment of two popular g…
stat.ME2025
A Simple and Effective Random Forest Modelling for Nonlinear Time Series Data
Shihao Zhang, Zudi Lu, Chao Zheng
In this paper, we propose Random Forests by Random Weights (RF-RW), a theoretically grounded and practically effective alternative RF modelling for nonlinear time series data, wher…