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                            Library & Multimedia
 Two-Stage Approach for the Inference of the Source of High-Dimension and Complex Chemical Data in Forensic Science
NCJ Number
              254154

Author(s)
          Madeline Ausdemore;
                        Cedric Neumann;
                        Christopher Saunders;
                        Douglas Armstrong;
                        Cyril Muehlethaler
Date Published

2019
Length
              12 pages
Annotation
              This project developed a two-stage approach for the inference of the source of high-dimension and complex chemical data in forensic science.
Abstract
              Forensic scientists are often criticized for the lack of quantitative support for the conclusions of their examinations. Although scholars advocate for the use of a Bayes factor to quantify the weight of forensic evidence, it is often impossible to assign the necessary probability measures to perform likelihood-based inference for high-dimensional and complex data. To address this issue, The current project revisited a two-stage inference framework and leveraged the properties of kernel functions to offer a method that allows for statistically supporting the inference of the identity of source of sets of trace and control objects by way of a single test. This method is generic in that it can be easily tailored to any type of data encountered in forensic science or pattern recognition, and it does not depend on the dimension or the type of the considered data. The application of our method to paint evidence shows that this type of evidence carries substantial probative value. Finally, this approach can easily be extended to other evidence types such as glass, fibers, and dust. (publisher abstract modified)
      
  
          Additional Details
Grant Number(s)
        2014-IJ-CX-K088


  
  
        
  Agencies
        NIJ-Sponsored


  
  
        
  Publication Type
        Research (Applied/Empirical)
                                Report (Study/Research)
                                Report (Grant Sponsored)
                                Program/Project Description


  
  
        
  Award
        Foundational Research into the Quantification of the Value of Forensic Evidence for Complex Evidential Forms arising from Impression and Pattern Evidence
    
  
  
Date Published: January 1, 2019
    
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