We investigate the classical problem of a gambler repeatedly betting $1 on the flip of a potentially biased coin until he either loses all his money or wins the money of his opponent. This is then extended to the case of his adversary (a casino) having practically unlimited resources and used to derive the inverse Gaussian distribution of the first passage time.
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Jan Vrbik (2012) studied this question.
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