The COVID-19 pandemic is characterized by a recurring sequence of peaks and troughs. This article proposes a regime-switching unobserved components (UC) approach to model the trend of COVID-19 infections as a function of this ebb and flow pattern. Estimated regime probabilities indicate the prevalence of either an infection up- or down-turning regime for every day of the observational... https://www.markbroyard.com/top-sale-godzilla-minus-one-ginza-arrival-t-shirt-fashion-top-super/
Modeling COVID-19 Infection Rates by Regime-Switching Unobserved Components Models
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