Stationary Probabilities and Asymptotic Behaviour of a non‐Markovian Model with Linear Transition Rule

Abstract

Explicit and recursive formulae are obtained for the n‐step stochastic kernel, and its stationarity and asymptotic behaviour is examined for a special class of non‐Markovian models with a linear transition rule occuring in learning theory, adaption theory, control theory, and biological research.