On the Bayesian approach to forensic age estimation of living individuals.

Sironi E; Vuille J; Morling N; Taroni F

doi:10.1016/j.forsciint.2017.11.007

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Journal article

On the Bayesian approach to forensic age estimation of living individuals.

Sironi E University of Lausanne, School of Criminal Justice, Lausanne-Dorigny, Switzerland. Electronic address: emanuele.sironi@alumnil.unil.ch.
Vuille J University of Neuchâtel, Faculty of Law, Neuchâtel, Switzerland. Electronic address: joelle.vuille@unine.ch.
Morling N University of Copenhagen, Faculty of Health and Medical Sciences, Department of Forensic Medicine, Copenhagen, Denmark. Electronic address: niels.morling@sund.ku.dk.
Taroni F University of Lausanne, School of Criminal Justice, Lausanne-Dorigny, Switzerland. Electronic address: franco.taroni@unil.ch.

2017-11-23

Published in:

Forensic science international. - 2017

English Forensic age estimation, a branch of forensic science, has received renewed attention lately mainly due to societal migration phenomena. And yet, the interpretation of age-related evidence is still largely neglected as a field, the literature being usually limited to technical discussions strictly pertaining to the statistical methodologies to be used in estimation process. This short communication aims to highlight the fundamental role of evidence evaluation and interpretation in forensic age estimation. We illustrate why the Bayesian approach represents the best choice in such a perspective.

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