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Phase-Informed Bayesian Ensemble Models Improve Performance of COVID-19 Forecasts

AAAI 2023 · Time series › Causal and generative time series · approach: Robust forecasting and evaluation · 10 citations (OpenAlex)

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Measured effects reported in the paper

What was changedWhereMeasuredEffect
Use historical forecasts from the current phase to estimate BMA weights and variancesBMA · COVID-19 county-level forecasts, Delta wave surgemedian ranking: 4Helped
Use historical forecasts from the current phase to estimate BMA weights and variancesBMA · COVID-19 county-level forecasts, Omicron wave surgemedian ranking: 1Helped
Use phase-informed training data instead of the most recent contiguous weeksBMA · COVID-19 county-level forecasts, overallmedian MAENo clear effect
Use phase-informed training data instead of the most recent contiguous weeksBMA · COVID-19 county-level forecasts, inflection regionsforecast trajectory accuracyHelped

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