Author: Tapiwa Ganyani; Cecile Kremer; Dongxuan Chen; Andrea Torneri; Christel Faes; Jacco Wallinga; Niel Hens
Title: Estimating the generation interval for COVID-19 based on symptom onset data Document date: 2020_3_8
ID: cq6mivr9_30
Snippet: We evaluate the posterior distribution using 3 000 000 iterations of which the first 500 000 are discarded as burn-in. Thinning is applied by taking every 200 th iteration. The serial interval distribution is obtained by simulating 1 000 000 draws from h(z;Θ 1 ,Θ 2 )......
Document: We evaluate the posterior distribution using 3 000 000 iterations of which the first 500 000 are discarded as burn-in. Thinning is applied by taking every 200 th iteration. The serial interval distribution is obtained by simulating 1 000 000 draws from h(z;Θ 1 ,Θ 2 ).
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