Archive

Archive for the ‘preprints’ Category

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> https://hal.archives-ouvertes.fr/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

Adaptively selecting an empirical Bayes reference class

1 June 2016 Leave a comment

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

False discovery rates are misleadingly low

2 March 2016 Leave a comment

D. R. Bickel, “Correcting false discovery rates for their bias toward false positives,” Working Paper, University of Ottawa, deposited in uO Research at https://goo.gl/GcUjJe (2016). 2016 preprint | Slides: CFDR and RFDR for SSC 2017

12 June 2017: URL updated and slides added