An Extension of A Strong Limit Theorem on Gambling Strategy
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Graphical Abstract
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Abstract
In this paper, a strong limit theorem on gambling strategy for Bernoulli sequences is extended to the sequences of arbitrary dependent discrete random variables by using the conditional probabilities. Furthermore, by allowing the selection function to take values in an interval, the conception of random selection is generalized.
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