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Multiscale stochastic approximation for parametric optimization of hidden Markov models

Bhatnagar, Shalabh and Borkar, VS (1997) Multiscale stochastic approximation for parametric optimization of hidden Markov models. In: Probability in the Engineering and Informational Sciences, 11 (4). pp. 509-522.

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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.

Item Type: Journal Article
Publication: Probability in the Engineering and Informational Sciences
Publisher: Cambridge University Press
Additional Information: Copyright of this article belongs to Cambridge University Press.
Department/Centre: Division of Electrical Sciences > Computer Science & Automation
Division of Electrical Sciences > Electrical Engineering
Date Deposited: 04 Aug 2011 07:03
Last Modified: 27 Feb 2019 10:25
URI: http://eprints.iisc.ac.in/id/eprint/38313

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