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Archive for the ‘MDL’ Category

R functions for combining probabilities using game theory

15 November 2018 Leave a comment

Suite of R functions for combination of probabilities using a game-theoretic method

Source: Combine package | R Documentation

How to adjust statistical inferences for the simplicity of distributions

1 August 2018 Leave a comment

Inference after eliminating Bayesian models of excessive codelength

1 November 2017 Leave a comment

“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

A Bayesian approach to informing decision makers

23 September 2016 Leave a comment

Profile likelihood & MDL for measuring the strength of evidence

8 April 2013 Leave a comment

Estimates of the local FDR

13 February 2013 Leave a comment

Z. Yang, Z. Li, and D. R. Bickel, “Empirical Bayes estimation of posterior probabilities of enrichment: A comparative study of five estimators of the local false discovery rate,” BMC Bioinformatics 14, art. 87 (2013). published version |  2011 version | 2010 version

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This paper adapts novel empirical Bayes methods for the problem of detecting enrichment in the form of differential representation of genes associated with a biological category with respect to a list of genes identified as differentially expressed. Read more…

Optimal strength of evidence

13 February 2013 Leave a comment

D. R. Bickel, “Minimax-optimal strength of statistical evidence for a composite alternative hypothesis,” International Statistical Review 81, 188-206 (2013). 2011 version | Simple explanation (added 2 July 2017)

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This publication generalizes the likelihood measure of evidential support for a hypothesis with the help of tools originally developed by information theorists for minimizing the number of letters in a message. The approach is illustrated with an application to proteomics data.