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Visualizing climate variability with time-dependent probability density functions, detecting it using information theory

Larson, Jay


A framework for visualizing and detecting climate variability and change based on time-dependent probability density functions (PDFs) is developed. A set of information-theoretic statistics based on the Shannon Entropy and the Kullback-Leibler Divergence

CollectionsANU Research Publications
Date published: 2012
Type: Conference paper
Source: Procedia Computer Science
DOI: 10.1016/j.procs.2012.04.098


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