Archive
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
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
R functions for combining probabilities using game theory
Suite of R functions for combination of probabilities using a game-theoretic method
Why adjust priors for the simplicity of data distributions?
D. R. Bickel, “An explanatory rationale for priors sharpened into Occam’s razors,” Working Paper, DOI: 10.5281/zenodo.1412875, https://doi.org/10.5281/zenodo.1412875 (2018). 2018 preprint
R package for estimating local false discovery rates using empirical Bayes methods
LFDREmpiricalBayes — Estimating Local False Discovery Rates Using Empirical Bayes Methods
Lower the statistical significance threshold to 0.005—or 0.001?
D. R. Bickel, “Sharpen statistical significance: Evidence thresholds and Bayes factors sharpened into Occam’s razors,” Working Paper, University of Ottawa, <hal-01851322> https://hal.archives-ouvertes.fr/hal-01851322 (2018). 2018 preprint
David Bickel, statistician 
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