: Moving beyond mere evaluation to coherent decision-making, helping scientists and legal professionals address practical questions under uncertainty.
: The text introduces MCMC (Markov Chain Monte Carlo), importance sampling, and Chib's formula for calculating Bayes factors. Bayes Factors for Forensic Decision Analyses wi...
: Using Bayes factors to quantify the "weight of evidence" by measuring the change from prior to posterior odds. : Moving beyond mere evaluation to coherent decision-making,
: Assessing findings relative to specific propositions (e.g., whether a trace came from a particular suspect). Bayes Factors for Forensic Decision Analyses wi...
: Discriminating between general propositions when no specific person or object of interest is available (e.g., general source characteristics).
: Providing real-world forensic examples and complete R sample code for sensitivity analyses and result interpretation. Key Concepts Covered