Xi'an's Og

After a somewhat prolonged labour (!), we have at last completed our paper on ABC model choice with random forests and submitted it to PNAS for possible publication. While the paper is entirely methodological, the primary domain of application of ABC model choice methods remains population genetics and the diffusion of this new methodology to the users is thus more likely via a media like PNAS than via a machine learning or statistics journal.

When compared with our recent update of the arXived paper, there is not much different in contents, as it is mostly an issue of fitting the PNAS publication canons. (Which makes the paper less readable in the posted version [in my opinion!] as it needs to fit the main document within the compulsory six pages, relegated part of the experiments and of the explanations to the Supplementary Information section.)

This entry was posted on October 29, 2014 at 12:14 am and is filed under pictures, R, Statistics, University life with tags 1000 Genomes Project, ABC, ABC model choice, machine learning, model posterior probabilities, posterior predictive, random forests, summary statistics. You can follow any responses to this entry through the RSS 2.0 feed. You can leave a response, or trackback from your own site.