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...
Saved in:
| Superior document: | Springer Texts in Statistics, |
|---|---|
| VerfasserIn: | |
| 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,
|
| Physical Description: | 1 online resource (XII, 187 p. 22 illus., 5 illus. in color.) |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
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.