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                            Library & Multimedia
 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
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)
      
  
          Additional Details
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
    
  
  
Date Published: March 10, 2022
    
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      PatentsRelated Topics
        
                Forensic sciences
        Evidence analysis and processing
        Fingerprint analysis
        Probabilistic evidence
        Probability Theory



  
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