26 citations · 42 across the 7 of their papers we have counts for
7 papers
Casework applications of probabilistic genotyping methods for DNA mixtures that allow relationships between contributors
Peter J. Green, Julia Mortera, Lourdes Prieto
In both criminal cases and civil cases there is an increasing demand for the analysis of DNA mixtures involving relationships. The goal might be, for example, to identify the contr…
COVID-19 and the difficulty of inferring epidemiological parameters from clinical data
Simon N. Wood, Ernst C. Wit, Matteo Fasiolo +1
Knowing the infection fatality ratio (IFR) is of crucial importance for evidence-based epidemic management: for immediate planning; for balancing the life years saved against the l…
Inference about complex relationships using peak height data from DNA mixtures
Peter J. Green, Julia Mortera
In both criminal cases and civil cases there is an increasing demand for the analysis of DNA mixtures involving relationships. The goal might be, for example, to identify the contr…
A structural Markov property for decomposable graph laws that allows control of clique intersections
Peter J Green, Alun Thomas
We present a new kind of structural Markov property for probabilistic laws on decomposable graphs, which allows the explicit control of interactions between cliques, so is capable…
Paternity testing and other inference about relationships from DNA mixtures
Peter J. Green, Julia Mortera
We present methods for inference about relationships between contributors to a DNA mixture and other individuals of known genotype: a basic example would be testing whether a contr…
Sampling decomposable graphs using a Markov chain on junction trees
Peter J. Green, Alun Thomas
Full Bayesian computational inference for model determination in undirected graphical models is currently restricted to decomposable graphs, except for problems of very small scale…