1 citations · 2 across the 2 of their papers we have counts for
4 papers
Reconciling the Bayes Factor and Likelihood Ratio for Two Non-Nested Model Selection Problems
Danica M. Ommen, Christopher P. Saunders
In statistics, there are a variety of methods for performing model selection that all stem from slightly different paradigms of statistical inference. The reasons for choosing one…
Two-stage approach for the inference of the source of high-dimension and complex chemical data in forensic science
Madeline Ausdemore, Cedric Neumann, Christopher Saunders +2
Forensic scientists are often criticised for the lack of quantitative support for the conclusions of their examinations. While scholars advocate for the use of a Bayes factor to qu…
Quantification of the weight of fingerprint evidence using a ROC-based Approximate Bayesian Computation algorithm for model selection
J. H. Hendricks, C. Neumann, C. P. Saunders
For more than a century, fingerprints have been used with considerable success to identify criminals or verify the identity of individuals. The categorical conclusion scheme used b…
A Note on the Specific Source Identification Problem in Forensic Science in the Presence of Uncertainty about the Background Population
Danica M. Ommen, Christopher P. Saunders, Cedric Neumann
A goal in the forensic interpretation of scientific evidence is to make an inference about the source of a trace of unknown origin. The evidence is composed of the following three…