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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Détails bibliographiques
Publié dans:Springer Texts in Statistics
Auteurs principaux: Bozza, Silvia, Taroni, Franco, Biedermann, Alex
Format: Livro
Langue:Inglês
Publié: Springer Nature 2022
Sujets:
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
Accès en ligne:https://directory.doabooks.org/handle/20.500.12854/93947
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