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One-sided theorems on the law of the iterated logarithm without the independence assumption

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Abstract

One proves two theorems on the law of the iterated logarithm for sequences of random variables that are not necessarily independent. These theorems are the one-sided analogues of certain results of Lai and Stout.

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Literature cited

  1. T. L. Lai and W. Stout, “Limit theorems for sums of dependent random variables,” Z. Wahrsch. Verw. Gebiete,51, No. 1, 1–14 (1980).

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  2. V. V. Petrov, “On the law of iterated logarithm for sequences of dependent random variables,” J. Sov. Math.,24, No. 5 (1984).

  3. T. L. Lai and W. Stout, “The law of the iterated logarithm and upper-lower class tests for partial sums of stationary Gaussian sequences,” Ann. Probab.,6, No. 5, 731–750 (1978).

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Translated from Zapiski Nauchnykh Seminarov Leningradskogo Otdeleniya Matematicheskogo Institua im. V. A. Steklova AN SSSR, Vol. 130, pp. 150–156, 1983.

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Petrov, V.V. One-sided theorems on the law of the iterated logarithm without the independence assumption. J Math Sci 27, 3274–3278 (1984). https://doi.org/10.1007/BF01850677

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  • DOI: https://doi.org/10.1007/BF01850677

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