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Multiple?systems analysis for the quantification of modern slavery: classical and Bayesian approaches (2020)
Journal Article
Silverman, B. W. (2020). Multiple?systems analysis for the quantification of modern slavery: classical and Bayesian approaches. Journal of the Royal Statistical Society: Series A, 183(3), 691-736. https://doi.org/10.1111/rssa.12505

Multiple systems estimation is a key approach for quantifying hidden populations such as the number of victims of modern slavery. The UK Government published an estimate of 10,000 to 13,000 victims, constructed by the present author, as part of the s... Read More about Multiple?systems analysis for the quantification of modern slavery: classical and Bayesian approaches.

Multiple Systems Estimation for Sparse Capture Data: Inferential Challenges When There Are Nonoverlapping Lists (2020)
Journal Article
Chan, L., Silverman, B. W., & Vincent, K. (2021). Multiple Systems Estimation for Sparse Capture Data: Inferential Challenges When There Are Nonoverlapping Lists. Journal of the American Statistical Association, 116(535), 1297-1306. https://doi.org/10.1080/01621459.2019.1708748

© 2020 American Statistical Association. Multiple systems estimation strategies have recently been applied to quantify hard-to-reach populations, particularly when estimating the number of victims of human trafficking and modern slavery. In such cont... Read More about Multiple Systems Estimation for Sparse Capture Data: Inferential Challenges When There Are Nonoverlapping Lists.