: Moving beyond mere evaluation to coherent decision-making, helping scientists and legal professionals address practical questions under uncertainty.
Authored by , the text focuses on practical application over abstract theory, utilizing the R programming language to demonstrate computational techniques. Core Themes The content is structured around three primary pillars: Bayes Factors for Forensic Decision Analyses wi...
: The text introduces MCMC (Markov Chain Monte Carlo), importance sampling, and Chib's formula for calculating Bayes factors. : Moving beyond mere evaluation to coherent decision-making,
The book (published in 2022) provides a comprehensive introduction to using Bayesian methods—specifically Bayes factors —to evaluate scientific evidence and support rational decision-making in forensic science. Bayes Factors for Forensic Decision Analyses wi...