The American Statistical Association and Royal Statistical Society of the UK has published a special issue devoted for forensic evidence. The April 2019 issue, Forensic Science and Statistics, is a collaboration of the Center for Statistics and Applications in Forensic Evidence (CSAFE) and the Innocence Project.
The April 2019 issue contains six articles focused on forensic evidence:
- The limits of forensic evidence by Brian Tarran
- The need for objective measures in forensic evidence by Karen Kafadar
- Reliability and validity of forensic science evidence by Hal Stern, Maria Cuellar, and David Kaye
- What does a match mean? A framework for understanding forensic comparisons by Robin Mejia, Maria Cuellar, Dana Delger, and Bill Eddy
- Machine learning in forensic applications by Alicia Carriquiry, Heike Hofmann, Xiao Hui Tai, and Susan VanderPlas
- “Source” or “activity” – What is the level of issue in a criminal trial by Graham Jackson and Alex Biedermann
Free access to the full text of each article is available in this special issue.