For more than a century, fingerprints have been used with considerable success to identify criminals or verify the identity of individuals. The categorical conclusion scheme used by fingerprint examiners, and more generally the inference process followed by forensic scientists, have been heavily criticized in the scientific and legal literature. Instead, scholars have proposed to characterize the weight of forensic evidence using the Bayes factor as the key element of the inference process. In forensic science, quantifying the magnitude of support is equally as important as determining which model is supported. Unfortunately, the complexity of fingerprint patterns renders likelihood-based inference impossible. The method used in the current study quantified the weight of fingerprint evidence in forensic science; however, the researchers note that it can be applied to any other forensic pattern evidence. (publisher abstract modified)
Downloads
Similar Publications
- Long-Term Memory in Adults Exposed to Childhood Violence: Remembering Genital Contact Nearly 20 Years Later
- Just Science Podcast: Just Mass Disaster Emergency Response in Maui, Hawaii
- Dirichlet-Gamma-Poisson Model of Repeated Events - A Multivariate Description of Criminal Victimization in American Cities