Asymptotic and explicit formulae for a non-markovian model with linear transition rule

DOI10.1002/BIMJ.4710220108zbMath0456.60060OpenAlexW2053506253MaRDI QIDQ3906212

Radu Theodorescu, Mourad E. H. Ismail

Publication date: 1980

Published in: Biometrical Journal (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1002/bimj.4710220108

zbMATH Keywords

random systems with complete connectionsstochastic models for learninglinear transition rule

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) Stochastic processes (60G99) General biology and biomathematics (92B05) Mathematical psychology (91E99)

Related Items (2)

Stationary probability distributions for multiresponse linear learning models ⋮ Solidarity properties and a Doeblin decomposition for a class of non- Markovian stochastic processes

Cites Work

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