Implementing statistical learning methods through Bayesian networks (Part 2): Bayesian evaluations for results of black toner analyses in forensic document examination

Forensic Science International : Synergy
Alex BiedermannW Mazzella

Abstract

This paper presents and discusses the use of Bayesian procedures - introduced through the use of Bayesian networks in Part I of this series of papers - for 'learning' probabilities from data. The discussion will relate to a set of real data on characteristics of black toners commonly used in printing and copying devices. Particular attention is drawn to the incorporation of the proposed procedures as an integral part in probabilistic inference schemes (notably in the form of Bayesian networks) that are intended to address uncertainties related to particular propositions of interest (e.g., whether or not a sample originates from a particular source). The conceptual tenets of the proposed methodologies are presented along with aspects of their practical implementation using currently available Bayesian network software.

References

Mar 23, 2002·Forensic Science International : Synergy·Paolo Garbolino, Franco Taroni
Jun 28, 2003·Analytical and Bioanalytical Chemistry·Rena A MerrillJ Hollis Taylor
Oct 24, 2006·Forensic Science International : Synergy·A P DawidP Vicard
Jan 4, 2007·Journal of Forensic Sciences·Franco TaroniAlex Biedermann

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Citations

Jul 5, 2016·Crime Science·Nadine M SmitNorman E Fenton
Jan 19, 2013·Bulletin of Experimental Biology and Medicine·I V Petukhov, V V Rozhentsov

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