|
|
|
|
379 * !
|
Thu, 8/12/2021,
12:00 PM -
1:50 PM
|
Virtual
|
|
Bias and Interpretability in Biometrics for Forensic Science — Topic-Contributed Papers
|
|
Section on Statistics in Defense and National Security, Advisory Committee on Forensic Science, International Society for Bayesian Analysis (ISBA)
|
|
Organizer(s): Christopher Saunders, South Dakota State University
|
|
Chair(s): Cami Fuglsby, South Dakota State University
|
|
12:05 PM
|
Machine Learning Methods for Dependent Data Resulting from Forensic Evidence Comparisons
Danica M Ommen, Iowa State University; Federico Veneri, Iowa State University
|
|
12:25 PM
|
Covariate-Adjusted ROC Curves: An Introduction and Application to Characterizing Hidden Behavior in Biometric Matching System
Larry Tang, University of Central Florida; Martin Slawski, George Mason University; Xiaochen Zhu, George Mason University
|
|
12:45 PM
|
Generalized Fiducial Factor: An Alternative to the Bayes Factor for Forensic Identification of Source Problems
Jonathan P Williams, North Carolina State University; Danica M Ommen, Iowa State University; Jan Hannig, University of North Carolina at Chapel Hill
|
|
1:05 PM
|
Machine Testimony
Andrea Roth, UC Berkeley School of Law
|
|
1:25 PM
|
Discussant: Mike Smith, FBI Laboratory Division
|
|
1:35 PM
|
Discussant: Christopher Saunders, South Dakota State University
|
|
1:45 PM
|
Floor Discussion
|
