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, Taroni, Franco, Biedermann, Alex
Format:	Online
Language:	English
Published:	Springer Nature 2022
Subjects:	Bayes factor scientific evidence decision making forensic science uncertainty management probability theory forensic decision analysis Bayesian modeling R Bayesian statistics probabilistic inference thema EDItEUR::P Mathematics and Science::PB Mathematics::PBT Probability and statistics thema EDItEUR::U Computing and Information Technology::UF Business applications::UFM Mathematical and statistical software thema EDItEUR::J Society and Social Sciences::JK Social services and welfare, criminology::JKV Crime and criminology::JKVF Criminal investigation and detection::JKVF1 Forensic science thema EDItEUR::M Medicine and Nursing::MK Medical specialties, branches of medicine::MKT Forensic medicine thema EDItEUR::J Society and Social Sciences::JM Psychology::JMK Criminal or forensic psychology thema EDItEUR::J Society and Social Sciences::JH Sociology and anthropology::JHB Sociology::JHBC Social research and statistics
Online Access:	ONIX_20221118_9783031098390_37
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