On the theory of Markov set-chains

DOI10.2307/1427899zbMath0814.60060OpenAlexW2076656644MaRDI QIDQ4322088

Eugene Seneta, D. J. Hartfiel

Publication date: 13 June 1995

Published in: Unnamed Author (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.2307/1427899

zbMATH Keywords

Markov chainergodic theoremstransienceweak law of large numbers

Mathematics Subject Classification ID

Central limit and other weak theorems (60F05) Markov chains (discrete-time Markov processes on discrete state spaces) (60J10) Applications of Markov chains and discrete-time Markov processes on general state spaces (social mobility, learning theory, industrial processes, etc.) (60J20) Stochastic matrices (15B51)

Related Items (10)

Imprecise stochastic processes in discrete time: global models, imprecise Markov chains, and ergodic theorems ⋮ A fuzzy approach to Markov decision processes with uncertain transition probabilities ⋮ Embedded population systems in Markov set-chains ⋮ Coefficients of ergodicity for Markov chains with uncertain parameters ⋮ A classification of invariant distributions and convergence of imprecise Markov chains ⋮ Discrete time Markov chains with interval probabilities ⋮ Extended Laplace principle for empirical measures of a Markov chain ⋮ IMPRECISE MARKOV CHAINS AND THEIR LIMIT BEHAVIOR ⋮ Multistage stochastic programming with fuzzy probability distribution ⋮ Controlled Markov set-chains under average criteria

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