Bayes factors for forensic decision analyses with R / 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 th...
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| Main Authors: | , , |
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| Format: | Ebook |
| Language: | English |
| Published: |
Cham, Switzerland :
Springer,
2022.
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| Series: | Springer texts in statistics,
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| Subjects: | |
| Online Access: | Springer eBooks |
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.