Information-Theoretic Methods for Identifying Relationships amon
Shared by Deniz Gencaga, updated on Sep 22, 2010
Summary
- Author(s) :
- K. H. Knuth, Deniz Gencaga, W. B. Rossow
- Abstract
Information-theoretic quantities, such as entropy, are used to quantify the amount of information a given variable provides. Entropies can be used together to compute the mutual information, which quantifies the amount of information two variables share. However, accurately estimating these quantities from data is extremely challenging. We have developed a set of computational techniques that allow one to accurately compute marginal and joint entropies. These algorithms are probabilistic in nature and thus provide information on the uncertainty in our estimates, which enable us to establish statistical significance of our findings. We demonstrate these methods by identifying relations between cloud data from the International Satellite Cloud Climatology Project (ISCCP) and data from other sources, such as equatorial pacific sea surface temperatures (SST).
- Publication Name
- Proceedings of the Earth-Sun Systems Technology Conference (NASA ESTC 2008)
- Publication Location
- Adelphi, MD
- Year Published
- 2008
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