Abstract
In an interesting paper ([1]), G. Kersting considers the asymptotic distribution of a sequence of random variables (Xn)n ∈ ℕ given by the recursion
Such types of recursive schemes are encountered in the framework of Stochastic Approximation. (Kersting derives e.g. with the help of his result the asymptotic distribution of the Robbins-Monro process when the regression function is only one-sided differentiable at the root).
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References
Kersting, G.D. (1978). A weak convergence theorem with application to the Robbins-Monro process. Ann. Prob. Vol. 6, No. 6, 1015–1025
Loeve, M. (1977). Probability Theory I, 4th ed. Springer Verlag New York Heidelberg Berlin.
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© 1983 Springer-Verlag New York Inc.
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Pflug, G.C. (1983). On Kersting’s Theorem on Weak Convergence of Recursions. In: Herkenrath, U., Kalin, D., Vogel, W. (eds) Mathematical Learning Models — Theory and Algorithms. Lecture Notes in Statistics, vol 20. Springer, New York, NY. https://doi.org/10.1007/978-1-4612-5612-0_18
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DOI: https://doi.org/10.1007/978-1-4612-5612-0_18
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