Bayes Factors for Forensic Decision Analyses with R

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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Detalles Bibliográficos
Autores principales: Bozza, Silvia. author (author), Taroni, Franco. author, Biedermann, Alex. author
Formato: Libro electrónico
Idioma:Inglés
Publicado: Cham Springer Nature 2022
Cham : 2022.
Edición:1st ed. 2022.
Colección:Springer Texts in Statistics,
Materias:
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.
Estadística bayesiana
Processament de dades
Criminalística
R (Llenguatge de programació)
Bayes factor
scientific evidence
decision making
forensic science
uncertainty management
probability theory
forensic
decision analysis
Bayesian modeling
R
Bayesian statistics
probabilistic inference
Llibres electrònics
Ver en Biblioteca Universitat Ramon Llull:https://discovery.url.edu/permalink/34CSUC_URL/1im36ta/alma991009701629306719
Tabla de Contenidos:
  • 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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