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An objective Bayesian analysis of dichotomous sensitive data

Authors: M. Barbieri; LISEO, Brunero;

An objective Bayesian analysis of dichotomous sensitive data

Abstract

We consider a dichotomous population in which every person belongs either to a sensitive group $A$ or to the non sensitive complement $\bar{A}$. The object of interest is to estimate the population proportion of individuals who are members of $A$. We refer to a randomized response model proposed by Huang (2004), where also another parameter is present, namely the probability that a respondent truthfully states that he/she belongs to $A$ in a direct response survey. In the paper the posterior distribution of the parameters under the joint Jeffreys and Reference prior is derived. The properties of the noninformative priors are investigated through the frequentist coverage probabilities of posterior quantiles.

Country
Italy
Keywords

Jeffreys Prior; Randomized response models; Reference prior; Sensitive data

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
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