Skip to content

A Comparison of Various Score-Based Likelihood Ratio (SLR) Methods for the Quantitative Assessment of Footwear Evidence

Conference/Workshop:
American Association of Forensic Sciences (AAFS)
Published: 2023
Primary Author: Valerie Han
Secondary Authors: Alicia Carriquiry

This presentation is from the 75th Anniversary Conference of the American Academy of Forensic Sciences, Orlando, Florida, February 13-18, 2023. Posted with permission of CSAFE.

Related Resources

Computational Shoeprint Analysis for Forensic Science

Computational Shoeprint Analysis for Forensic Science

Shoeprints are a common type of evidence found at crime scenes and are regularly used in forensic investigations. However, their utility is limited by the lack of reference footwear databases…
Score-based Likelihood Ratios Using Stylometric Text Embeddings

Score-based Likelihood Ratios Using Stylometric Text Embeddings

We consider the problem setting in which we have two sets of texts in digital form and would like to quantify our beliefs that the two sets of texts were…
Statistics and its Applications in Forensic Science and the Criminal Justice System

Statistics and its Applications in Forensic Science and the Criminal Justice System

This presentation is from the 2024 Joint Statistical Meetings (JSM), Portland, Oregon, August 3-8, 2024.
Algorithmic matching of striated tool marks

Algorithmic matching of striated tool marks

Automatic matching algorithms for assessing the similarity between striation marks have been investigated for bullet lands and some tool marks, such as screwdrivers. We are interested in the investigation of…