Researchers from the Center for Statistics and Applications in Forensic Evidence (CSAFE) continually publish new research for the forensic and legal communities to apply to their work. Below is a selection of recently published peer-reviewed scientific journal articles and conference proceedings.
For additional CSAFE publications, visit our searchable resources section on our website.
A Dirichlet Process Model for Directional-Linear Data with Application to Bloodstain Pattern Analysis
Tong Zou and Hal Stern
Computational Statistics and Data Analysis
A Quantitative Approach for Forensic Footwear Quality Assessment Using Machine and Deep Learning
Bismita Choudhury, En-Tni Lin and Jacqueline Speir
Association for Computing Machinery
Density-based Matching Rule: Optimality, Estimation, and Application in Forensic Problems
Hana Lee, Yumou Qiu, Alicia Carriquiry and Danica Ommen,
The Annals of Applied Statistics
Enhancing Forensic Shoeprint Analysis: Application of the Shoe-MS Algorithm to Challenging Evidence
Moonsoo Jang, Alicia Carriquiry and Soyoung Park
Science & Justice
First Impressions Matter: Mundane Obstacles to a Forensic Device for Probabilistic Reporting in Fingerprint Analysis
Simon Cole and Justin Sola
Social Studies of Science
Forensic Footwear: A Retrospective of the Development of the MANTIS Shoe Scanning System
Richard Stone, Braden Westby, Nell Jaskowiak and Colten Fales
Proceedings of the Human Factors and Ergonomics Society Annual Meeting
How Signature Complexity Affects Expert and Lay Ability to Distinguish Genuine, Disguised and Simulated Signatures
Nicholas Scurich, Miriam Angel, Hal Stern and William Thompson
Journal of Forensic Sciences
Incorrect Statistical Reasoning in Guyll et al. Leads to Biased Claims About Strength of Forensic Evidence
Michael Rosenblum, Elizabeth Chin, Elizabeth Ogburn, Akihiko Nishimura, Daniel Westreich, Abhirup Datta, Susan Vanderplas, Maria Cuellar and William Thompson
PNAS
Misuse of Statistical Method Results in Highly Biased Interpretation of Forensic Evidence in Guyll et al.
Michael Rosenblum, Elizabeth Chin, Elizabeth Ogburn, Akihiko Nishimura, Daniel Westreich, Abhirup Datta, Susan Vanderplas, Maria Cuellar and William Thompson
Law, Probability and Risk












































