Titlebook: Bayes Factors for Forensic Decision Analyses with R; Silvia Bozza,Franco Taroni,Alex Biedermann Textbook‘‘‘‘‘‘‘‘ 2022 Springer Nature Swit

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Silvia Bozza,Franco Taroni,Alex BiedermannEmphasizes the role of Bayes factor guided reasoning as a necessary preliminary to coherent decision analysis.Presents computational details and interpretation of output, recommended in forensic scien

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Bayes Factors for Forensic Decision Analyses with R978-3-031-09839-0Series ISSN 1431-875X Series E-ISSN 2197-4136

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1431-875X and interpretation of output, recommended in forensic scien.Bayes Factors for Forensic Decision Analyses with R. provides a self-contained introduction to computational Bayesian statistics using R. With its primary focus on Bayes factors supported by data sets, this book features an operational per

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Introduction to the Bayes Factor and Decision Analysis,approaches to deal with input information (i.e., measurements). This introductory chapter also provides theoretical background that analysts might need during data analysis, including elements of forensic interpretation, computational methods, decision theory, prior elicitation and sensitivity analysis.

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Bayes Factor for Model Choice,f the Bayes factor for one-sided hypothesis testing involving model parameters in the form of a proportion and a mean. In both situations, additional factors (e.g., errors) are considered as well as aspects of decision making.