Forecasting Public Sentiments via Mean Field Games

Read full text
Authors: Michael V. Klibanov, Kevin A. McGoff, Trung Truong
Cited by: 0

Abstract

Abstract. 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 version of the so-called convexification method. We provide theoretical convergence analysis that establishes global convergence of the method with a convergence rate. We also conduct numerical experiments that demonstrate the accurate performance of the convexification technique and highlight some promising features of this approach.

Fields of Study & Subjects

Opinion Dynamics and Social Influence Forecasting Techniques and Applications Stock Market Forecasting Methods

Publication details

Journal / source
SIAM Journal on Applied Mathematics
Volume
86
Issue
3
Pages
814–838
Publication date
5 May 2026
Language
EN