Archive

Archive for the ‘maximum entropy’ Category

An R package to transform false discovery rates to posterior probability estimates

1 May 2018 Comments off

There are many estimators of false discovery rate. In this package we compute the Nonlocal False Discovery Rate (NFDR) and the estimators of local false discovery rate: Corrected False discovery Rate (CFDR), Re-ranked False Discovery rate (RFDR) and the blended estimator.

Source: CRAN – Package CorrectedFDR

Inference after eliminating Bayesian models of excessive codelength

1 November 2017 Comments off

“The maximum-entropy and minimax redundancy distribution classes of sufficiently small codelength”

10th Workshop on Information Theoretic Methods in Science and Engineering

Paris, France

September 11, 2017

David R. Bickel

University of Ottawa

Inference after eliminating Bayesian models of insufficient evidence

1 December 2016 Comments off

“Inference under the entropy-maximizing Bayesian model of sufficient evidence”

The Third International Conference on Mathematical and Computational Medicine

Columbus, Ohio

David R. Bickel

18 May 2016

A Bayesian approach to informing decision makers

23 September 2016 Comments off

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

1 August 2016 Comments off

False discovery rates are misleadingly low

2 March 2016 Comments off

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

 

Coherent inference after checking a prior

7 January 2016 Comments off