Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Bayesian Propagation of Record Linkage Uncertainty into Population Size
  Estimation of Human Rights Violations   Multiple-systems or capture-recapture estimation are common techniques for
population size estimation, particularly in the quantitative study of human
rights violations. These methods rely on multiple samples from the population,
along with the information of which individuals appear in which samples. The
goal of record linkage techniques is to identify unique individuals across
samples based on the information collected on them. Linkage decisions are
subject to uncertainty when such information contains errors and missingness,
and when different individuals have very similar characteristics. Uncertainty
in the linkage should be propagated into the stage of population size
estimation. We propose an approach called linkage-averaging to propagate
linkage uncertainty, as quantified by some Bayesian record linkage
methodologies, into a subsequent stage of population size estimation.
Linkage-averaging is a two-stage approach in which the results from the record
linkage stage are fed into the population size estimation stage. We show that
under some conditions the results of this approach correspond to those of a
proper Bayesian joint model for both record linkage and population size
estimation. The two-stage nature of linkage-averaging allows us to combine
different record linkage models with different capture-recapture models, which
facilitates model exploration. We present a case study from the Salvadoran
civil war, where we are interested in estimating the total number of civilian
killings using lists of witnesses' reports collected by different
organizations. These lists contain duplicates, typographical and spelling
errors, missingness, and other inaccuracies that lead to uncertainty in the
linkage. We show how linkage-averaging can be used for transferring the
uncertainty in the linkage of these lists into different models for population
size estimation.

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The categories of this paper are: cs
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The categories of this paper are: mtrl-th
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The categories of this paper are: funct-an
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The categories of this paper are: comp-gas
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The categories of this paper are: nlin
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The categories of this paper are: physics
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The categories of this paper are: acc-phys
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The categories of this paper are: math
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The categories of this paper are: quant-ph
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The categories of this paper are: alg-geom
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The categories of this paper are: cmp-lg
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The categories of this paper are: math-ph
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The categories of this paper are: nucl-ex
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The categories of this paper are: patt-sol
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The categories of this paper are: gr-qc
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The categories of this paper are: nucl-th