Journal ArticleDOI
A MCMC method for resolving two person mixtures.
TLDR
A Monte Carlo Markov Chain method for resolving DNA mixtures containing at most four peaks per locus into a major and a minor contributor is presented and can provide posterior probability assessments of the most probable genotype and a likely range for the mixing proportion.About:
This article is published in Science & Justice.The article was published on 2008-12-01. It has received 53 citations till now. The article focuses on the topics: Markov chain Monte Carlo & Posterior probability.read more
Citations
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Journal ArticleDOI
Validating TrueAllele® DNA mixture interpretation.
Mark W. Perlin,M B S Matthew Legler,Cara E. Spencer,Jessica L. Smith,William P. Allan,Jamie L. Belrose,Barry W. Duceman +6 more
TL;DR: In this paper, the authors examined the extent to which quantitative computer interpretation could elicit more identification information than human review from the same adjudicated two-person mixture data, and found that the average information increase of 6.24 log units (min = 2.32, max = 10.49) over qualitative human review.
Journal ArticleDOI
Validating Trueallele® DNA Mixture Interpretation
Mark W. Perlin,M B S Matthew Legler,Cara E. Spencer,Jessica L. Smith,William P. Allan,Jamie L. Belrose,Barry W. Duceman +6 more
TL;DR: In this paper, the authors examined the extent to which quantitative computer interpretation could elicit more identification information than human review from the same adjudicated two-person mixture data, and they found that the average information increase of 6.24 log units (min=2.32, max=10.49) over qualitative human review.
Journal ArticleDOI
Developing allelic and stutter peak height models for a continuous method of DNA interpretation
TL;DR: A series of models are described that can be used to calculate expected values for allele and stutter peak heights, and their ratio SR, which could inform methods which implement a continuous method for the interpretation of DNA profiling data.
Journal ArticleDOI
Analysis of forensic DNA mixtures with artefacts
TL;DR: It is shown that the combination of evidence from several samples may give an evidential strength which is close to that of a single‐source trace and thus modelling of peak height information provides a potentially very efficient mixture analysis.
Journal ArticleDOI
Exploratory data analysis for the interpretation of low template DNA mixtures
TL;DR: A probabilistic model is used to calculate likelihood ratios when there is uncertainty about the composition of the crime-sample, and how the LRs can be explored when the drop-out and drop-in parameters are varied is illustrated, and the use of Monte Carlo simulations to derive plausible ranges for the probability of drop- out is suggested.
References
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Journal ArticleDOI
Equation of state calculations by fast computing machines
TL;DR: In this article, a modified Monte Carlo integration over configuration space is used to investigate the properties of a two-dimensional rigid-sphere system with a set of interacting individual molecules, and the results are compared to free volume equations of state and a four-term virial coefficient expansion.
Journal ArticleDOI
Monte Carlo Sampling Methods Using Markov Chains and Their Applications
TL;DR: A generalization of the sampling method introduced by Metropolis et al. as mentioned in this paper is presented along with an exposition of the relevant theory, techniques of application and methods and difficulties of assessing the error in Monte Carlo estimates.
Journal ArticleDOI
The Method of Path Coefficients
TL;DR: The Method of Path Coefficients (MPC) as discussed by the authors is a flexible means of relating the correlation coefficients between variables in a multiple system to the functional relations among them, which has been applied in quite a variety of cases.
Journal ArticleDOI
Bayesian analysis in expert systems
TL;DR: Using a real, moderately complex, medical example, it is illustrated how qualitative and quantitative knowledge can be represented within a directed graphical model, generally known as a belief network in this context.
BookDOI
Forensic DNA Evidence Interpretation
TL;DR: The Frequentist Approaches Bayesian Approaches Statistical Evaluation of Mixtures Low Copy Number and Interpretation Issues Associated with DNA Databases are discussed.