8 citations · 25 across the 28 of their papers we have counts for
4 papers · 1 filter
Nearest-Neighbours Estimators for Conditional Mutual Information
Jake Witter, Conor Houghton
The conditional mutual information quantifies the conditional dependence of two random variables. It has numerous applications; it forms, for example, part of the definition of tra…
Estimating mutual information for spike trains: a bird song example
Jake Witter, Conor Houghton
Zebra finch are a model animal used in the study of audition. They are adept at recognizing zebra finch songs and the neural pathway involved in song recognition is well studied. H…
A note on the unbiased estimation of mutual information
Jake Witter, Conor Houghton
Estimators for mutual information are typically biased. However, in the case of the Kozachenko-Leonenko estimator for metric spaces, a type of nearest neighbour estimator, it is po…
A Kernel-Based Calculation of Information on a Metric Space
R. Joshua Tobin, Conor J. Houghton
Kernel density estimation is a technique for approximating probability distributions. Here, it is applied to the calculation of mutual information on a metric space. This is motiva…