Our approach has substantial practical utility in disease model- ling — by applying our approach to COVID-19 mortality data from Brazil, where reporting delays.

Feb 22, 2021 · We present a flexible approach using a latent Gaussian process that is capable of describing the changing auto-correlation structure present in ...

Figure S7: Distribution of reporting delays for each of the retrospective tests. The moment of the "nowcast" is shown with the red dotted line in each plot.

This work presents a flexible approach using a latent Gaussian process that is capable of describing the changing auto-correlation structure present in the ...

Feb 22, 2021 · This methodology is used to address the specific problem of delayed reporting in the true incidence of deaths due to COVID-19 in Brazil.

Gaussian process nowcasting: application to COVID-19 mortality reporting. Iwona Hawryluk, Henrique Hoeltgebaum, Swapnil Mishra, Xenia Miscouridou, Ricardo P ...

Feb 22, 2021 · We present a flexible approach using a latent Gaussian process that is capable of describing the changing auto-correlation structure present in ...

We present a flexible approach using a latent Gaussian process that is capable of describing the changing auto-correlation structure present in the reporting ...

Hawryluk et al, “Gaussian process nowcasting: Application to COVID-19 mortality reporting,” UAI (2021). Wilde et al, “The association between mechanical ...

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