Bayes Factors For Forensic Decision Analyses Wi... -

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:

: Using Bayes factors to quantify the "weight of evidence" by measuring the change from prior to posterior odds. Bayes Factors for Forensic Decision Analyses wi...

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. Authored by , the text focuses on practical

: Assessing findings relative to specific propositions (e.g., whether a trace came from a particular suspect). 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.