1 citations · 1 across the 3 of their papers we have counts for
3 papers
cs.LG2023
Forecasting large collections of time series: feature-based methods
Li Li, Feng Li, Yanfei Kang
In economics and many other forecasting domains, the real world problems are too complex for a single model that assumes a specific data generation process. The forecasting perform…
stat.AP2022★ 1 cited
Feature-based intermittent demand forecast combinations: bias, accuracy and inventory implications
Li Li, Yanfei Kang, Fotios Petropoulos +1
Intermittent demand forecasting is a ubiquitous and challenging problem in production systems and supply chain management. In recent years, there has been a growing focus on develo…
econ.EM2021
Bayesian forecast combination using time-varying features
Li Li, Yanfei Kang, Feng Li
In this work, we propose a novel framework for density forecast combination by constructing time-varying weights based on time series features, which is called Feature-based Bayesi…