Journal of the Korean Statistical Society

The Korean Statistical Society (한국통계학회)
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Bayesian Analysis of Randomized Response Models : A Gibbs Sampling Approach

  • Oh, Man-Suk (Department of Statistics, Ewha Womens University, Sodaemun-gu, Seoul 120-750)
  • Published : 1994.12.01
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Abstract

In Bayesian analysis of randomized response models, the likelihood function does not combine tractably with typical priors for the parameters of interest, causing computational difficulties in posterior analysis of the parameters of interest. In this article, the difficulties are solved by introducing appropriate latent variables to the model and using the Gibbs sampling algorithm.

Keywords

References

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