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Multiscale Stochastic Approximation for Parametric Optimization of Hidden Markov Models

  • Shalabh Bhatnagar (a1) and Vivek S. Borkar (a2)
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.

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Probability in the Engineering and Informational Sciences
  • ISSN: 0269-9648
  • EISSN: 1469-8951
  • URL: /core/journals/probability-in-the-engineering-and-informational-sciences
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