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Information theory and the limit-theorem for Markov chains and processes with a countable infinity of states

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Publication:2394086
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DOI10.1007/BF02865910zbMath0126.35901MaRDI QIDQ2394086

David G. Kendall

Publication date: 1963

Published in: Annals of the Institute of Statistical Mathematics (Search for Journal in Brave)



Mathematics Subject Classification ID

Applications of Markov chains and discrete-time Markov processes on general state spaces (social mobility, learning theory, industrial processes, etc.) (60J20) Information theory (general) (94A15)


Related Items (7)

Some properties of Rényi entropy over countably infinite alphabets ⋮ Information in Probability: Another Information-Theoretic Proof of a Finite de Finetti Theorem ⋮ Convergence of Markov chains in information divergence ⋮ Bestimmung kostenoptimaler Prüfpläne mittels des Mini-Max-Prinzips ⋮ Eine Momentengleichung bei Exponentialfamilien. (A moment equation for exponential families.) ⋮ An information-theoretic proof of a finite de Finetti theorem ⋮ Central limit theorem and convergence to stable laws in Mallows distance



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