1. Shared Information for a Markov Chain on a Tree
- Author
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Bhattacharya, Sagnik and Narayan, Prakash
- Subjects
Computer Science - Information Theory - Abstract
Shared information is a measure of mutual dependence among multiple jointly distributed random variables with finite alphabets. For a Markov chain on a tree with a given joint distribution, we give a new proof of an explicit characterization of shared information. The Markov chain on a tree is shown to possess a global Markov property based on graph separation; this property plays a key role in our proofs. When the underlying joint distribution is not known, we exploit the special form of this characterization to provide a multiarmed bandit algorithm for estimating shared information, and analyze its error performance., Comment: 13 pages, 4 figures, submitted to IEEE Transactions on Information Theory
- Published
- 2023
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