Title: Edgeworth approximation of multivariate differential entropy
Authors: Van Hulle, Marc # ×
Issue Date: Sep-2005
Publisher: MIT Press
Series Title: Neural Computation vol:17 issue:9 pages:1903-1910
Abstract: We develop the general, multivariate case of the Edgeworth approximation of differential entropy and show that it can be more accurate than the nearest-neighbor method in the multivariate case and that it scales better with sample size. Furthermore, we introduce mutual information estimation as an application.
ISSN: 0899-7667
Publication status: published
KU Leuven publication type: IT
Appears in Collections:Research Group Neurophysiology
× corresponding author
# (joint) last author

Files in This Item:

There are no files associated with this item.

Request a copy


All items in Lirias are protected by copyright, with all rights reserved.

© Web of science