40 citations · 68 across the 8 of their papers we have counts for
8 papers
A clustering algorithm for the single cell analysis of mixtures
Robert G. Cowell
A probabilistic clustering algorithm is proposed for the analysis of forensic DNA mixtures in which individual cells are isolated and short tandem repeats are amplified using the p…
A sub-critical branching process model for application to analysing Y haplotype DNA mixtures
Robert G. Cowell
The treatment of short-tandem-repeat (STR) loci on the Y chromosome presents special problems in the forensic analysis of DNA mixtures, chiefly but not exclusively relating to the…
A unifying framework for the modelling and analysis of STR DNA samples arising in forensic casework
Robert George Cowell
This paper presents a new framework for analysing forensic DNA samples using probabilistic genotyping. Specifically it presents a mathematical framework for specifying and combinin…
Combining allele frequency uncertainty and population substructure corrections in forensic DNA calculations
Robert Cowell
In forensic DNA calculations of relatedness of individuals and in DNA mixture analyses, two sources of uncertainty are present concerning the allele frequencies used for evaluating…
Analysis of Forensic DNA Mixtures with Artefacts
R. G. Cowell, T. Graversen, S. Lauritzen +1
DNA is now routinely used in criminal investigations and court cases, although DNA samples taken at crime scenes are of varying quality and therefore present challenging problems f…
Conditions Under Which Conditional Independence and Scoring Methods Lead to Identical Selection of Bayesian Network Models
Robert G. Cowell
It is often stated in papers tackling the task of inferring Bayesian network structures from data that there are these two distinct approaches: (i) Apply conditional independence t…
MAIES: A Tool for DNA Mixture Analysis
Robert G. Cowell, Steffen L. Lauritzen, Julia Mortera
We describe an expert system, MAIES, developed for analysing forensic identification problems involving DNA mixture traces using quantitative peak area information. Peak area infor…
Propagation using Chain Event Graphs
Peter Thwaites, Jim Q. Smith, Robert G. Cowell
A Chain Event Graph (CEG) is a graphial model which designed to embody conditional independencies in problems whose state spaces are highly asymmetric and do not admit a natural pr…