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πVAE: a stochastic process prior for Bayesian deep learning with MCMC
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Orphanhood and Caregiver Loss Among Children Based on New Global Excess COVID-19 Death Estimates
The availability of new excess mortality data enables us to update global minimum estimates of COVID-19 orphanhood and caregiver death …
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PriorVAE: encoding spatial priors with variational autoencoders for small-area estimation
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Spatial and temporal fluctuations in COVID-19 fatality rates in Brazilian hospitals
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A novel statistical framework for exploring the population dynamics and seasonality of mosquito populations
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Global, regional, and national minimum estimates of children affected by COVID-19-associated orphanhood and caregiver death, by age and family circumstance up to Oct 31, 2021: an updated modelling study
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Covid-19 is a leading cause of death in children and young people ages 0-19 years in the United States
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The use of Bayesian methodology in the development and validation of a tiered assessment approach towards prediction of rat acute oral toxicity
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Unrepresentative big surveys significantly overestimated US vaccine uptake
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Under-reporting of deaths limits our understanding of true burden of covid-19
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