Politics

Forecasting the 2020 US Presidential Election

Ongoing project to predict the outcome of the 2020 US Presidential Election. I created a poll-based forecast model that integrates demographic and public opinion data to predict how undecided voters will break on election day. The forecast uses a state-space model for poll aggregation and a Bayesian linear model to predict the undecided break.

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