Foundational Research into the Quantification of the Value of Forensic Evidence for Complex Evidential Forms arising from Impression and Pattern Evidence

Award Information

Awardee

South Dakota State University

Award #

2014-IJ-CX-K088

Funding Category

Competitive

Location

Brookings, SD

Status

Closed

Funding First Awarded

2014

Total funding (to date)

$780,301

Original Funding Opportunity

NIJ FY 14 Research and Development in Forensic Science for Criminal Justice Purposes

Grant-Funded Publications

A Problem in Forensic Science Highlighting the Differences between the Bayes Factor and Likelihood Ratio
Journal: Statistical Science

Date Published: August 2021
Quantification of the Weight of Fingerprint Evidence Using a ROC-based Approximate Bayesian Computation Algorithm for Model Selection
Journal: Electronic Journal of Statistics

Date Published: 2021
Quantification of the Weight of Fingerprint Evidence Using a ROC-based Approximate Bayesian Computation Algorithm for Model Selection (Correction)
Journal: Electronic Journal of Statistics

Date Published: 2021
Deconvolution of dust mixtures
Journal: Forensic Science International

Date Published: 2020
Defence against the modern arts: the curse of statistics-Part II: 'Score-based likelihood ratios'
Journal: Law Probability & Risk

Date Published: 2020
Two-stage approach for the inference of the source of high-dimensional and complex chemical data in forensic science
Journal: Journal of Chemometrics

Date Published: 2020
U-statistics for estimating performance metrics in forensic handwriting analysis
Journal: Journal of Statistical Computation and Simulation

Date Published: 2020
A ROC-based Approximate Bayesian Computation Algorithm for Model Selection: Application to Fingerprint Comparisons in Forensic Science
Journal: arXiv

Date Published: 2019
Communicating forensic evidence: Is it appropriate to report posterior beliefs when DNA evidence is obtained through a database search?
Journal: Law Probability & Risk

Date Published: 2019
Deconvolution of Dust Mixtures by Latent Dirichlet Allocation in Forensic Science
Date Published: 2019
Review of Several False Positive Error Rate Estimates for Latent Fingerprint Examination Proposed Based on the 2014 Miami Dade Police Department Study
Journal: arXiv

Date Published: 2019
Two-Stage Approach for the Inference of the Source of High-Dimension and Complex Chemical Data in Forensic Science
Journal: arXiv

Date Published: 2019
Foundational Research into the Quantification of the Value of Forensic Evidence for Complex Evidential Forms Arising From Impression and Pattern Evidence
Date Published: November 2018
Building a Unified Statistical Framework for the Forensic Identification of Source Problems
Journal: Law Probability & Risk

Date Published: June 2018
Kernel-based Methods for Source Identification Using Very Small Particles From Carpet Fibers
Journal: Chemometrics and Intelligent Laboratory Systems

Date Published: January 2017
The Characterization of Monte Carlo Errors for the Quantification of the Value of Forensic Evidence
Journal: Journal of Statistical Computation and Simulation

Date Published: 2017
An Argument Against Presenting Interval Quantifications as a Surrogate for the Value of Evidence
Date Published: September 2016
Commentary on: Alberink I, de Jongh A, Rodriguez C. Fingermark evidence evaluation based on automated fingerprint identification system matching scores: the effect of different types of conditioning on likelihood ratios. J Forensic Sci 2014; 59(1):70–81.
Journal: Journal of Forensic Sciences

Date Published: January 2015

Date Created: September 11, 2014

Foundational Research into the Quantification of the Value of Forensic Evidence for Complex Evidential Forms arising from Impression and Pattern Evidence

Award Information

Grant-Funded Publications

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