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Multiscale Stochastic Approximation for Parametric Optimization of Hidden Markov Models

Published online by Cambridge University Press:  27 July 2009

Shalabh Bhatnagar  and
Vivek S. Borkar
Shalabh Bhatnagar
Affiliation:
Department of Electrical Engineering, Indian Institute of Science, Bangalore 560 012, India
Vivek S. Borkar
Affiliation:
Department of Computer Science and Automation, Indian Institute of Science, Bangalore 560 012, India
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Abstract

A two–time scale stochastic approximation algorithm is proposed for simulation-based parametric optimization of hidden Markov models, as an alternative to the traditional approaches to “infinitesimal perturbation analysis.” Its convergence is analyzed, and a queueing example is presented.

Information

Type
Research Article
Information
Probability in the Engineering and Informational Sciences , Volume 11 , Issue 4 , October 1997 , pp. 509 - 522
Copyright
Copyright © Cambridge University Press 1997

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