3 papers
stat.AP2019
A Bayesian approach for the analysis of error rate studies in forensic science
Jessie Hendricks, Cedric Neumann
Over the past decade, the field of forensic science has received recommendations from the National Research Council of the U.S. National Academy of Sciences, the U.S. National Inst…
stat.AP2018
Review of several false positive error rate estimates for latent fingerprint examination proposed based on the 2014 Miami Dade Police Department study
Madeline Ausdemore, Jessie H. Hendricks, Cedric Neumann
During the past decade, several studies have been conducted to estimate the false positive error rate (FPR) associated with latent fingerprint examination. The so-called Black-box…
stat.ME2018
Quantification of the weight of fingerprint evidence using a ROC-based Approximate Bayesian Computation algorithm for model selection
J. H. Hendricks, C. Neumann, C. P. Saunders
For more than a century, fingerprints have been used with considerable success to identify criminals or verify the identity of individuals. The categorical conclusion scheme used b…