Skip to content

Thinking About Likelihood Ratios for Pattern Evidence

Type: Webinar
Research Area: Forensic Statistics

This CSAFE Center Wide Meeting webinar was presented by Hal Stern from University of California on January 19, 2017.

Description:
The likelihood ratio has been proposed as a logical way to summarize forensic evidence. In pattern evidence disciplines; however, the application of likelihood ratios is challenging because of the high-dimensional data involved and the lack of relevant probability models (among other issues). Score-based likelihood ratios are one approach to handling the high-dimensional data issue. The webinar reviews likelihood ratios, their role in forensic science and the potential of score-based likelihood ratios.

Related Resources

Towards a likelihood ratio approach for bloodstain pattern analysis

Towards a likelihood ratio approach for bloodstain pattern analysis

In this work, we explore the application of likelihood ratio as a forensic evidence assessment tool to evaluate the causal mechanism of a bloodstain pattern. It is assumed that there…
An Open-Source Implementation of the CMPS Algorithm for Assessing Similarity of Bullets

An Open-Source Implementation of the CMPS Algorithm for Assessing Similarity of Bullets

In this paper, we introduce the R package cmpsR, an open-source implementation of the Congruent Matching Profile Segments (CMPS) method developed at the National Institute of Standards and Technology (NIST)…
Error Rate Methods for Forensic Handwriting Identification

Error Rate Methods for Forensic Handwriting Identification

Presentation is from the 106th International Association for Identification (IAI) Annual Educational Conference
Measuring Proficiency among Latent Print Examiners: A Statistical Approach from Standardized Testing

Measuring Proficiency among Latent Print Examiners: A Statistical Approach from Standardized Testing

This presentation is from the 74th Annual Scientific Conference of the American Academy of Forensic Sciences