Quantification of the weight of fingerprint evidence using a ROC-based Approximate Bayesian Computation algorithm for model selection (correction)

• NCJ Number: 304329
• Date Published: March 2022
• Grant Number(s): 2014-IJ-CX-K088; 2015-DN-BX-K027
• Agencies: NIJ-Sponsored
• Publication Type: Research (Applied/Empirical)
• Award: Foundational Research into the Quantification of the Value of Forensic Evidence for Complex Evidential Forms arising from Impression and Pattern Evidence; Benefits and Limitations of the Statistical Methodology in Determining Evidentiary Value of Latent Print Identification: A Prospective Evaluation

Annotation

This is a correction for the article entitled “Quantification of the weight of fingerprint evidence using a ROC-based Approximate Bayesian Computation algorithm for model selection”, Electronic Journal of Statistics (15)1, pp. 1228–1262.

 

Abstract

This correction provides an acknowledgment for the source of several images in the paper: J. Hendricks, C. Neumann, C.P. Saunders (2021). (Publisher Abstract)