Bayes Factors for Forensic Decision Analyses with R

Bayes Factors for Forensic Decision Analyses with R

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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: Electronic eBook
Language:English
Published: Cham : Springer International Publishing : Imprint: Springer, 2022.
Edition:1st ed. 2022.
Series:Springer Texts in Statistics,
Subjects:
Statistics .
Mathematical statistics > Data processing.
Forensic sciences.
Medical jurisprudence.
Forensic psychology.
Social sciences > Statistical methods.
Statistical Theory and Methods.
Statistics and Computing.
Forensic Science.
Forensic Medicine.
Forensic Psychology.
Statistics in Social Sciences, Humanities, Law, Education, Behavorial Sciences, Public Policy.
Online Access:Link to Metadata
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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.

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