- 2010/09/02 Using information theory to identify discrepancies within and between text files
- 2010/04/11 Using entropy and the surprisal value to measure the degree of agreement with the consensus finding
- 2010/03/20 Ordinal surprisals
- 2010/03/11 Ordinal entropy
- 2009/05/22 The surprisal matrix and applications to exploration of very large discrete data sets
- 2009/01/28 Calibrating information
- 2009/01/07 A simple example of joint and conditional entropy
- 2008/09/17 Categorizing entropy values
- 2008/09/15 Jackknife applied to entropy calculations
- 2008/09/13 Use of entropy measures for sperm morphology classification
- 2008/08/25 Entropy as a measure of data quality across multiple variables
- 2008/08/11 Cumulative entropy as a measure of data quality
- 2005/12/12 The HapMap project
- 2005/03/24 More on information theory models
- 2004/08/31 More on information theory models
- 2004/05/26 What is information theory
- 2004/05/10 Information Theory