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A law of the iterated logarithm for stochastic approximation procedures in d-dimensional Euclidean space

Abstract

AbstractIn this paper, we investigate the rate of convergence for general d-dimensional stochastic approximation procedures and present an explicit expression for the asymptotic bounds in the law of the iterated logarithm

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