Corpus ID: 61571154

Bayesian Inference from Non-Ignorable Network Sampling Designs

@article{Lunagomez2013BayesianIF,
  title={Bayesian Inference from Non-Ignorable Network Sampling Designs},
  author={S. Lunagomez and E. Airoldi},
  journal={arXiv: Methodology},
  year={2013}
}
  • S. Lunagomez, E. Airoldi
  • Published 2013
  • Mathematics, Computer Science
  • arXiv: Methodology
  • Consider a population where subjects are susceptible to a disease (e.g. AIDS). The objective is to perform inferences on a population quantity (like the incidence of HIV on a high-risk subpopulation, e.g. intra-venous drug abusers) via sampling mechanisms based on a social network (link-tracing designs, respondent-driven sampling). We phrase this problem in terms of the framework proposed by Rubin for making inferences on a population quantity and, within this context, prove that respondent… CONTINUE READING

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