2 papers
math.NA2026
Toward Practical Forecasts of Public Sentiments via Convexification for Mean Field Games: Evidence from Real World COVID-19 Discussion Data
Shi Chen, Michael V. Klibanov, Kevin McGoff +3
We apply a convexification-based numerical method to forecast public sentiment dynamics using Mean Field Games (MFGs). The theoretical foundation for the convexification approach,…
math.NA2025
Forecasting Public Sentiments via Mean Field Games
Michael V. Klibanov, Kevin McGoff, Trung Truong
Motivated by the goal of forecasting public sentiments, we consider a forecasting problem in the context of the Mean Field Games theory. We develop a numerical method, which is a v…