Forecasting Elections Using Compartmental Models of Infection

DOI10.1137/19M1306658zbMath1454.91162arXiv1811.01831OpenAlexW3096125394MaRDI QIDQ5140611

Alexandria Volkening, Grzegorz A. Rempała, Daniel F. Linder, Mason A. Porter

Publication date: 16 December 2020

Published in: SIAM Review (Search for Journal in Brave)

Full work available at URL: https://arxiv.org/abs/1811.01831

zbMATH Keywords

electionsforecastingcomplex systemscompartmental modelingpolling data

Mathematics Subject Classification ID

Epidemiology (92D30) Voting theory (91B12) History, political science (91F10)

Related Items (3)

Rationalizing systematic discrepancies between election outcomes and opinion polls ⋮ Qualitative properties of space-dependent SIR models with constant delay and their numerical solutions ⋮ On the control of density-dependent stochastic population processes with time-varying behavior

Uses Software

• R
• LBFGS-B
• GitHub

Cites Work

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