Bayes Factors for Forensic Decision Analyses with R / / by Silvia Bozza, Franco Taroni, Alex Biedermann.
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 perspective, practical relevance, and applicability—keeping theor...
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Superior document: | Springer Texts in Statistics, |
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Place / Publishing House: | Cham : : Springer International Publishing :, Imprint: Springer,, 2022. |
Year of Publication: | 2022 |
Edition: | 1st ed. 2022. |
Language: | English |
Series: | Springer Texts in Statistics,
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Physical Description: | 1 online resource (XII, 187 p. 22 illus., 5 illus. in color.) |
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Table of Contents:
- Chapter 1: Introduction to the Bayes factor and decision analysis
- Chapter 2: Bayes factor for model choice
- Chapter 3: Bayes factor for evaluative purposes
- Chapter 4: Bayes factor for investigative purposes.