Home
> empirical Bayes, genetic association, preprints > Adaptively selecting an empirical Bayes reference class
Adaptively selecting an empirical Bayes reference class
1 June 2016
F. A. Aghababazadeh, M. Alvo, and D. R. Bickel, “Estimating the local false discovery rate via a bootstrap solution to the reference class problem,” Working Paper, University of Ottawa, deposited in uO Research at http://hdl.handle.net/10393/34295 (2016). 2016 preprint
Categories: empirical Bayes, genetic association, preprints
You must be logged in to post a comment.