The characterization of Monte Carlo errors for the quantification of the value of forensic evidence

DOI10.1080/00949655.2017.1280036OpenAlexW2582053671MaRDI QIDQ5106875

Christopher P. Saunders, Danica M. Ommen, Cedric Neumann

Publication date: 22 April 2020

Published in: Journal of Statistical Computation and Simulation (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/00949655.2017.1280036

zbMATH Keywords

Monte Carlomodel selectionBayes factorGibbs samplingBayesianstandard errorforensic science

Mathematics Subject Classification ID

Related Items (2)

Generalized fiducial factor: an alternative to the Bayes factor for forensic identification of source problems ⋮ A problem in forensic science highlighting the differences between the Bayes factor and likelihood ratio

Uses Software

• MCMCglmm
• BayesDA
• Flury

Cites Work

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• Evaluation of Trace Evidence in the Form of Multivariate Data
• The formal definition of reference priors
• Asymptotic properties of maximum likelihood estimates in the mixed model of the analysis of variance
• Impact of Model Choice on LR Assessment in Case of Rare Haplotype Match (Frequentist Approach)
• Approximation Theorems of Mathematical Statistics
• Modern Multivariate Statistical Techniques
• Bayesian Inference in Econometric Models Using Monte Carlo Integration
• Statistics and the Evaluation of Evidence for Forensic Scientists
• Bayes Factors
• Tools for statistical inference. Methods for the exploration of posterior distributions and likelihood functions.

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