Conditional entropy, entropy density, and strong law of large numbers for generalized controlled tree-indexed Markov chains

Weicai Peng

Communications in Statistics - Theory and Methods, 2017, vol. 46, issue 23, 11880-11891

Abstract: In this paper, we first introduces a tree model without degree boundedness restriction namely generalized controlled tree T, which is an extension of some known tree models, such as homogeneous tree model, uniformly bounded degree tree model, controlled tree model, etc. Then some limit properties including strong law of large numbers for generalized controlled tree-indexed non homogeneous Markov chain are obtained. Finally, we establish some entropy density properties, monotonicity of conditional entropy, and entropy properties for generalized controlled tree-indexed Markov chains.

Date: 2017
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DOI: 10.1080/03610926.2017.1285935

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