Bayesian Networks “This book should have a place on the bookshelf of every forensic
scientist who cares about the science of evidence interpretation.” Dr. Ian Evett, Principal …

This study compares score-and feature-based methods for estimating forensic likelihood
ratios for text evidence. Three feature-based methods built on different Poisson-based …

The likelihood ratio paradigm for quantifying the strength of evidence has been researched
in many fields of forensic science. Within this paradigm, score-based approaches for …

Statistical modeling of the evaluation of evidence with the use of the likelihood ratio has a
long history. It dates from the Dreyfus case at the end of the nineteenth century through the …

Across forensic speech science, the likelihood ratio (LR) is increasingly becoming accepted
as the logically and legally correct framework for the expression of expert conclusions …

Bayes Factors for Forensic Decision Analyses with R provides a self-contained introduction
to computational Bayesian statistics using R. With its primary focus on Bayes factors …

This study presents a method to derive numerical LRs for distance data from the iPhone
Health app. The LR method provides a probability model for hypotheses that specify a …

Within the field of forensic speech science there is increasing acceptance of the likelihood
ratio (LR) as the logically and legally correct framework for evaluating forensic voice …

The research presented in this thesis examines the calculation of numerical likelihood ratios
using phonetic and linguistic parameters derived from a corpus of recordings of speakers of …

Abstract Recently, Lund and Iyer (L&I) raised an argument regarding the use of likelihood
ratios in court. In our view, their argument is based on a lack of understanding of the …