Solidarity properties and a Doeblin decomposition for a class of non- Markovian stochastic processes

DOI10.1007/BF02056899zbMath0537.60046MaRDI QIDQ792698

Richard L. Tweedie, Radu Theodorescu

Publication date: 1983

Published in: Metrika (Search for Journal in Brave)

Full work available at URL: https://eudml.org/doc/175869

zbMATH Keywords

learning theoryDoeblin decomposition

Mathematics Subject Classification ID

Special processes (60K99) Stochastic processes (60G99)

Cites Work

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• R-theory for Markov chains on a general state space. I: Solidarity properties and R-recurrent chains
• Markov processes and learning models
• Asymptotic and explicit formulae for a non-markovian model with linear transition rule
• Limit theorems for α-recurrent semi-Markov processes
• Markov Chains with Continuous Components
• A mathematical framework for learning and adaption: (Generalized) random systems with complete connections
• [https://portal.mardi4nfdi.de/wiki/Publication:5598025 Syst�mes al�atoires g�n�ralis�s � liaisons compl�tes]

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