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arXiv · 1804.04678

Fast approaches for Bayesian estimation of size of hard-to-reach populations using Network Scale-up

Leonardo S Bastos·Natalia S Paiva·Francisco I Bastos·Daniel A M Villela
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Abstract

The Network scale-up method is commonly used to overcome difficulties in estimating the size of hard-to-reach populations. The method uses indirect information based on social network of each participant taken from the general population, but in some applications a fast computational approach would be highly recommended. We propose a Gibbs sampling method and a Monte Carlo approach to sample from the random degree model. We applied the abovementioned analytical strategies to previous data on heavy drug users from Curitiba, Brazil.

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Leonardo S Bastos, Natalia S Paiva, Francisco I Bastos, Daniel A M Villela. 2018-04-12. Fast approaches for Bayesian estimation of size of hard-to-reach populations using Network Scale-up. https://arxiv.org/abs/1804.04678

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