A1279
Title: Evaluation of the random match probability in forensic statistics
Authors: Gianfranco Piscopo - University of Naples Federico II (Italy) [presenting]
Maria Longobardi - University of Naples Federico II (Italy)
Massimiliano Giacalone - University of Campania Luigi Vanvitelli (Italy)
Abstract: Forensic statistics is generally referred to as the detection of data on crimes and trial outcomes, with subsequent analysis of the data thus detected. Statistics applied to the evaluation of evidence is increasingly being recognized as an important part of the modern criminal justice system. The use of DNA tests for identification and judicial purposes has been the greatest revolution in criminal investigation. It is founded on the Bayesian causal inference and on the evaluation of the random match probability. Forensic science is the application of scientific methodologies to traditional investigative techniques in relation to the detection of a crime. The applicative field is wide, ranging from biology to psychology, chemistry, computer science, physics, medicine and engineering. Forensic genetics is a specialized branch of forensic science that analyzes DNA to prove suspicious responsibility for a crime. The aim is to consider the projection pursuit approach in forensic genetics by providing new tools and techniques that help deliver justice in an increasingly complex world. This is made possible by the high dimensionality of the data, which allows the use and comparison of techniques developed in very different inferential contexts.
