Gradient estimates for the performance of Markov chains and discrete event processes

Gradient estimates for the performance of Markov chains and discrete event processes

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Article ID: iaor19931491
Country: Switzerland
Volume: 39
Issue: 1/4
Start Page Number: 173
End Page Number: 194
Publication Date: Jan 1993
Journal: Annals of Operations Research
Authors:
Keywords: measurement, stochastic processes
Abstract:

In this paper, an algorithm for the estimation of the gradient of the stationary performance of a Markov chain w.r.t. a real parameter is presented. The method works for discrete and continuous state spaces. A comparison with the efficient score method and extensions to semi-Markov processes and discrete event dynamical systems are made.

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