Small parts in the Bernoulli sieve
classification
🧮 math.PR
keywords
processasymptoticsbernoulliconditionconsideredcountsdiscretedistribution
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Sampling from a random discrete distribution induced by a `stick-breaking' process is considered. Under a moment condition, it is shown that the asymptotics of the sequence of occupancy numbers, and of the small-parts counts (singletons, doubletons, etc) can be read off from a limiting model involving a unit Poisson point process and a self-similar renewal process on the halfline.
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