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Almost sure convergence of a class of stochastic algorithms

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  • Biscarat, Jean Claude

Abstract

In this paper, we establish the almost sure convergence of d-valued sequences generated by a particular class of stochastic algorithms and we apply this result to a stochastic approximation type EM algorithm for the mixture problem.

Suggested Citation

  • Biscarat, Jean Claude, 1994. "Almost sure convergence of a class of stochastic algorithms," Stochastic Processes and their Applications, Elsevier, vol. 50(1), pages 83-99, March.
    • Handle: RePEc:eee:spapps:v:50:y:1994:i:1:p:83-99
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    Cited by:

    1. Ashley Cacho & Weixin Yao & Xinping Cui, 2018. "Base-Calling Using a Random Effects Mixture Model on Next-Generation Sequencing Data," Statistics in Biosciences, Springer;International Chinese Statistical Association, vol. 10(1), pages 3-19, April.

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