Publication: Invited Discussion
Invited Discussion
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Held, L., & Bracher, J. (2019). Invited Discussion. Bayesian Analysis, 14(1), 296–300. https://doi.org/10.1214/18-BA1117
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Timely and accurate forecasts of seasonal influenza would assist public health decision-makers in planning intervention strategies, efficiently allocating resources, and possibly saving lives. For these reasons, influenza forecasts are consequential. Producing timely and accurate influenza forecasts, however, have proven challenging due to noisy and limited data, an incomplete understanding of the disease transmission process, and the mismatch between the disease transmission process and the data-generating process. In this paper, we
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Citations
Held, L., & Bracher, J. (2019). Invited Discussion. Bayesian Analysis, 14(1), 296–300. https://doi.org/10.1214/18-BA1117
