: Discriminating between general propositions when no specific person or object of interest is available (e.g., general source characteristics).
: 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...
: Practical guidance on standard models, including inferring proportions and normal means in forensic contexts. Audience and Accessibility Bayes Factors for Forensic Decision Analyses with R : Introduction to Bayes' theorem as the standard
: Moving beyond mere evaluation to coherent decision-making, helping scientists and legal professionals address practical questions under uncertainty. 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.
: The text introduces MCMC (Markov Chain Monte Carlo), importance sampling, and Chib's formula for calculating Bayes factors.
: Introduction to Bayes' theorem as the standard for managing scientific uncertainty. Investigation vs. Evaluation :