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Multivariate binary discrimination by the kernel method
SUMMARY An extension of the kernel method of density estimation from continuous to multivariate binary spaces is described. Its simple nonparametric nature together with its consistency properties
Statistics and the Evaluation of Evidence for Forensic Scientists
TLDR
This book discusses uncertainty in forensic science, the evaluation of evidence, and the role of Bayesian inference in the interpretation of evidence.
Evaluation of trace evidence in the form of multivariate data
Summary.  The evaluation of measurements on characteristics of trace evidence found at a crime scene and on a suspect is an important part of forensic science. Five methods of assessment for the
Bayesian Networks and Probabilistic Inference in Forensic Science
TLDR
This work focuses on Bayesian networks for evaluating scientific evidence, which has more than one component: footwear marks evidence, and the likelihood ratio and the combination of evidence.
Fundamentals of probability and statistical evidence in criminal proceedings
An accessible introduction to the fundamentals of statistical evidence and probabilistic reasoning in criminal proceedings, providing guidance for judges, lawyers, forensic scientists and expert
Data Analysis in Forensic Science: A Bayesian Decision Perspective
TLDR
The Foundations of Inference and Decision in Forensic Science and Bayesian Forensic Data Analysis: Conclusions and Implications, a guide to implementing and implementing the Bayesian Framework, are presented.
A Two‐Level Model for Evidence Evaluation
ABSTRACT: A random effects model using two levels of hierarchical nesting has been applied to the calculation of a likelihood ratio as a solution to the problem of comparison between two sets of
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