Bayes Factors for Forensic Decision Analyses with R /

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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Bibliographic Details
Main Authors: Bozza, Silvia (Author), Taroni, Franco (Author), Biedermann, Alex (Author)
Corporate Author: SpringerLink (Online service)
Format: eBook
Language:English
Published: Cham : Springer International Publishing : Imprint: Springer, 2022.
Edition:1st ed. 2022.
Series:Springer Texts in Statistics,
Subjects:
Online Access:Connect to the full text of this electronic book
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.