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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 Author: Bozza, Silvia (auth)
Other Authors: Taroni, Franco (auth), Biedermann, Alex (auth)
Format: Electronic Book Chapter
Language:English
Published: Cham Springer Nature 2022
Series:Springer Texts in Statistics
Subjects:
Probability & statistics
Mathematical & statistical software
Forensic science
Forensic medicine
Criminal or forensic psychology
Social research & statistics
Bayes factor
scientific evidence
decision making
forensic science
uncertainty management
probability theory
forensic
decision analysis
Bayesian modeling
R
Bayesian statistics
probabilistic inference
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