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
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
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
How to adjust statistical inferences for the simplicity of distributions
D. R. Bickel, “Confidence intervals, significance values, maximum likelihood estimates, etc. sharpened into Occam’s razors,” Working Paper, University of Ottawa, <hal-01799519> https://hal.archives-ouvertes.fr/hal-01799519 (2018). 2018 preprint | Slides
How to make decisions using somewhat reliable posterior distributions
D. R. Bickel, “Departing from Bayesian inference toward minimaxity to the extent that the posterior distribution is unreliable,” Working Paper, University of Ottawa, <hal-01673783> https://hal.archives-ouvertes.fr/hal-01673783 (2017). 2017 preprint
Should simpler distributions have more prior probability?
D. R. Bickel, “Computable priors sharpened into Occam’s razors,” Working Paper, University of Ottawa, <hal-01423673> https://hal.archives-ouvertes.fr/hal-01423673 (2016). 2016 preprint
Estimates of the local false discovery rate based on prior information: Application to GWAS
A. Karimnezhad and D. R. Bickel, “Incorporating prior knowledge about genetic variants into the analysis of genetic association data: An empirical Bayes approach,” Working Paper, University of Ottawa, deposited in uO Research at http://hdl.handle.net/10393/34889 (2016). 2016 preprint
Adaptively selecting an empirical Bayes reference class
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
David Bickel, statistician 
You must be logged in to post a comment.