Hierarchical multinomial logistic regression models outperform a baseline in probabilistic and point accuracy for SARS-CoV-2 variant nowcasts and forecasts, performing best in high-data locations.
Generating random correlation matrices based on vines and extended onion method.Journal of Multivariate Analysis, 100(9):1989–2001
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Comparison of probabilistic nowcasts and forecasts of SARS-CoV-2 variant proportions made by hierarchical multinomial linear regression models
Hierarchical multinomial logistic regression models outperform a baseline in probabilistic and point accuracy for SARS-CoV-2 variant nowcasts and forecasts, performing best in high-data locations.