Quantification of the weight of fingerprint evidence using a ROC-based approximate Bayesian computation algorithm for model selection

DOI10.1214/21-EJS1813zbMath1471.62549arXiv1803.10121OpenAlexW3138773482MaRDI QIDQ2044336

Christopher P. Saunders, Cedric Neumann, Jessie Hendricks

Publication date: 9 August 2021

Published in: Electronic Journal of Statistics (Search for Journal in Brave)

Full work available at URL: https://arxiv.org/abs/1803.10121

zbMATH Keywords

Bayes factorapproximate Bayesian computationweight of evidencereceiver operating characteristic (ROC)forensic science

Mathematics Subject Classification ID

Applications of statistics to social sciences (62P25) Image analysis in multivariate analysis (62H35)

Related Items (1)

Corrigendum to: ``Quantification of the weight of fingerprint evidence using a ROC-based approximate Bayesian computation algorithm for model selection

Uses Software

• bayess
• abcrf

Cites Work

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• Asymptotic Statistics
• Mathematical Statistics
• Statistics and the Evaluation of Evidence for Forensic Scientists
• Questioning a Courtroom Proof of the Uniqueness of Fingerprints
• Handbook of Approximate Bayesian Computation
• The Bayesian Choice
• ABC likelihood-free methods for model choice in Gibbs random fields

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