Archive for the ‘preprints’ Category

Why adjust priors for the simplicity of data distributions?

1 November 2018 Leave a comment
Categories: complexity, preprints

Lower the statistical significance threshold to 0.005—or 0.001?

1 October 2018 Leave a comment

How to adjust statistical inferences for the simplicity of distributions

1 August 2018 Leave a comment

How to make decisions using somewhat reliable posterior distributions

15 January 2018 Leave a comment
Categories: model checking, preprints

Should simpler distributions have more prior probability?

7 January 2017 Leave a comment

D. R. Bickel, “Computable priors sharpened into Occam’s razors,” Working Paper, University of Ottawa, <hal-01423673> (2016). 2016 preprint

Categories: complexity, preprints

A Bayesian approach to informing decision makers

23 September 2016 Leave a comment

Estimates of the local false discovery rate based on prior information: Application to GWAS

1 August 2016 Leave a comment