A Strong Approximation Theorem for Stochastic Recursive Algorithms
作者： V. S. Borkar , S. K. Mitter
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摘要: The constant stepsize analog of Gelfand-Mitter type discrete-time stochastic recursive algorithms is shown to track an associated differential equation in the strong sense, i.e., with respect appropriate divergence measure.
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