By Pierpaolo Blasi and others

Discrete random probability measures are a key ingredient of Bayesian nonparametric inferential procedures. A sample generates ties with positive probability and a fundamental object of both theoretical and applied interest is the corresponding random number of distinct values. The growth rate can be determined from the rate of decay of... Show more

January 19, 2021

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Asymptotic behavior of the number of distinct values in a sample from the geometric stick-breaking process

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