Publisher description for Bayesian networks and probablistic in inference in forensic science / Franco Taroni ... [et al.].


Bibliographic record and links to related information available from the Library of Congress catalog


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Counter
Bayesian networks are increasingly becoming the key tool used by the forensic scientist for evaluating evidence. They are a powerful yet relatively simple tool for making sense of dependencies between different types of evidence, and provide guidance for decision-making. This book will be the first to present Bayesian network methodology with a focus on their use in forensic science. It is accessible enough for forensic scientists with a modest mathematical background, and contains many examples of how to apply the methods to real data. The methods are applied using HUGIN – the most widely used Bayesian networks software, a free version of which is sufficient to apply all the methods – and the book is supported by a Website, featuring a link to HUGIN download, HUGIN programs of the featured Bayesian networks, and additional teaching material. The author team consists of two forensic scientists, a statistician and a philosopher, which makes them well-placed to produce an interdisciplinary book that spans all those disciplines. The book will provide an excellent complement for Aitken (2004), which has a chapter on Bayesian networks, and will form a cluster with that book and Balding (2004), and Robertson and Vignaux (1995).


Library of Congress subject headings for this publication:
Bayesian statistical decision theory -- Graphic methods.
Uncertainty (Information theory) -- Graphic methods.
Forensic sciences -- Graphic methods.