Higher-Order Circuit Processes

  • Sophia L. Kalpazidou
Part of the Stochastic Modeling and Applied Probability book series (SMAP, volume 28)

Abstract

Higher-order circuit processes are homogeneous discrete parameter Markov processes with either at most a countable set of states or an arbitrary set of states, where the length of the past in the Markovian dependence is extended from 1 to m > 1, and the transition law can be decomposed by a collection of geometrical elements, the “circuits”, into certain positive weights.

Keywords

Markov Chain Elementary Circuit Balance Property Stationary Markov Chain Reversed Circuit 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer Science+Business Media New York 1995

Authors and Affiliations

  • Sophia L. Kalpazidou
    • 1
  1. 1.Department of MathematicsAristotle University of ThessalonikiThessalonikiGreece

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