Archive
Software for estimating the local false discovery rate
Recent preprints by David Bickel
Evidential unification of confidence and empirical Bayes methods
D. R. Bickel, “Confidence distributions and empirical Bayes posterior distributions unified as distributions of evidential support,” Working Paper, DOI: 10.5281/zenodo.2529438, http://doi.org/10.5281/zenodo.2529438 (2018). 2018 preprint
“Tips for presenting at a scientific conference”
Introduction I served as a judge for some of the student presentations at the 2016 Canadian Statistics Student Conference (CSSC). The conference was both a learning opportunity and a networking op…
Source: Tips for presenting at a scientific conference | The Chemical Statistician
Fiducial model averaging of Bayesian models and of frequentist models
D. R. Bickel, “A note on fiducial model averaging as an alternative to checking Bayesian and frequentist models,” Communications in Statistics – Theory and Methods 47, 3125-3137 (2018). Full article | 2015 preprint
“A Litany of Problems With p-values”
Bayesian, likelihoodist, and frequentist views appear in the comments in Statistical Thinking: A Litany of Problems With p-values.
How to choose features or p values for empirical Bayes estimation of the local false discovery rate
F. Abbas-Aghababazadeh, M. Alvo, and D. R. Bickel, “Estimating the local false discovery rate via a bootstrap solution to the reference class problem,” PLoS ONE 13, e0206902 (2018) | full text | 2016 preprint
David Bickel, statistician 
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