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

التفاصيل البيبلوغرافية
العنوان: Asymptotic behavior of the number of distinct values in a sample from the geometric stick-breaking process
المؤلفون: Igor Prünster, Ramsés H. Mena, Pierpaolo De Blasi
بيانات النشر: arXiv, 2021.
سنة النشر: 2021
مصطلحات موضوعية: Statistics and Probability, Distribution (number theory), Logarithm, Negative binomial distribution, Inference, Scale (descriptive set theory), Sample (statistics), Mathematics - Statistics Theory, Statistics Theory (math.ST), 01 natural sciences, 010104 statistics & probability, 0502 economics and business, Range (statistics), FOS: Mathematics, Statistical physics, 0101 mathematics, RANDOM PROBABILITY MEASURE, GEOMETRIC STICK-BREAKING PROCESS, 050205 econometrics, Probability measure, Mathematics, Asymptotic growth rate, Bayesian nonparametrics, Geometric stick-breaking process, Occupancy problem, Random probability measure, 05 social sciences, Probability (math.PR), ASYMPTOTIC GROWTH RATE, ASYMPTOTIC GROWTH RATE, BAYESIAN NONPARAMETRICS, GEOMETRIC STICK-BREAKING PROCESS, OCCUPANCY PROBLEM, RANDOM PROBABILITY MEASURE, OCCUPANCY PROBLEM, BAYESIAN NONPARAMETRICS, Mathematics - Probability
الوصف: 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 the small frequencies implying that, when the decreasingly ordered frequencies admit a tractable form, the asymptotics of the number of distinct values can be conveniently assessed. We focus on the geometric stick-breaking process and we investigate the effect of the choice of the distribution for the success probability on the asymptotic behavior of the number of distinct values. We show that a whole range of logarithmic behaviors are obtained by appropriately tuning the prior. We also derive a two-term expansion and illustrate its use in a comparison with a larger family of discrete random probability measures having an additional parameter given by the scale of the negative binomial distribution.
Comment: 20 pages
DOI: 10.48550/arxiv.2101.07607
URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8ea6ac9d16176044c8862776e3e76785
Rights: OPEN
رقم الانضمام: edsair.doi.dedup.....8ea6ac9d16176044c8862776e3e76785
قاعدة البيانات: OpenAIRE
الوصف
DOI:10.48550/arxiv.2101.07607