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Related papers: Records in the Infinite Occupancy Scheme

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The paper is concerned with the classical occupancy scheme with infinitely many boxes, in which $n$ balls are thrown independently into boxes $1,2,...$, with probability $p_j$ of hitting the box $j$, where $p_1\geq p_2\geq...>0$ and…

Probability · Mathematics 2008-09-26 A. D. Barbour , A. V. Gnedin

The paper concerns the classical occupancy scheme with infinitely many boxes. We establish approximations to the distributions of the number of occupied boxes, and of the number of boxes containing exactly r balls, within the family of…

Probability · Mathematics 2009-02-06 A. D. Barbour

Consider a weighted branching process generated by a point process on $[0,1]$, whose atoms sum up to one. Then the weights of all individuals in any given generation sum up to one, as well. We define a nested occupancy scheme in random…

Probability · Mathematics 2021-06-10 Alexander Iksanov , Bastien Mallein

We revisit a version of the classic occupancy scheme, where balls are thrown until almost all boxes receive a given number of balls. Special cases are widely known as coupon-collectors and dixie cup problems. We show that as the number of…

Probability · Mathematics 2025-06-26 Alexander Gnedin , Svante Janson , Yaakov Malinovsky

We consider an infinite balls-in-boxes occupancy scheme with boxes organised in nested hierarchy, and random probabilities of boxes defined in terms of iterated fragmentation of a unit mass. We obtain a multivariate functional limit theorem…

Probability · Mathematics 2018-11-29 Alexander Gnedin , Alexander Iksanov

This paper collects facts about the number of occupied boxes in the classical balls-in-boxes occupancy scheme with infinitely many positive frequencies: equivalently, about the number of species represented in samples from populations with…

Probability · Mathematics 2009-09-29 Alexander Gnedin , Ben Hansen , Jim Pitman

In the Karlin infinite occupancy scheme, balls are thrown independently into an infinite array of boxes $1$, $2,\ldots$, with probability $p_k$ of hitting the box $k$. For $j,n\in\mathbb{N}$, denote by $\mathcal{K}^*_j(n)$ the number of…

Probability · Mathematics 2023-11-21 Alexander Iksanov , Valeriya Kotelnikova

The Bernoulli sieve is a version of the classical balls-in-boxes occupancy scheme, in which random frequencies of infinitely many boxes are produced by a multiplicative random walk, also known as the residual allocation model or…

Probability · Mathematics 2011-04-27 Alexander Gnedin , Alexander Iksanov , Alexander Marynych

We consider the occupancy problem where balls are thrown independently at infinitely many boxes with fixed positive frequencies. It is well known that the random number of boxes occupied by the first n balls is asymptotically normal if its…

Probability · Mathematics 2023-03-30 L. V. Bogachev , A. V. Gnedin , Yu. V. Yakubovich

An infinite urn scheme is defined by a probability mass function $(p_j)_{j\geq1}$ over positive integers. A random allocation consists of a sample of $N$ independent drawings according to this probability distribution where $N$ may be…

Statistics Theory · Mathematics 2016-09-29 Anna Ben-Hamou , Stéphane Boucheron , Mesrob I. Ohannessian

Consider a weighted branching process generated by the lengths of intervals obtained by stick-breaking of unit length (a.k.a. the residual allocation model) and associate with each weight a `box'. Given the weights `balls' are thrown…

Probability · Mathematics 2020-11-26 Dariusz Buraczewski , Bohdan Dovgay , Alexander Iksanov

An occupancy problem with an infinite number of bins and a random probability vector for the locations of the balls is considered. The respective sizes of bins are related to the split times of a Yule process. The asymptotic behavior of the…

Probability · Mathematics 2009-08-22 Philippe Robert , Florian Simatos

In the classical occupancy scheme, one considers a fixed discrete probability measure ${\bf p}=(p_i: {i\in{\cal I}})$ and throws balls independently at random in boxes labeled by ${\cal I}$, such that $p_i$ is the probability that a given…

Probability · Mathematics 2007-10-09 Jean Bertoin

A nested occupancy scheme in random environment is a generalization of the classical Karlin infinite balls-in-boxes occupancy scheme in random environment (with random probabilities). Unlike the Karlin scheme in which the collection of…

Probability · Mathematics 2020-11-25 Alexander Iksanov , Alexander Marynych , Igor Samoilenko

We study the infinite urn scheme when the balls are sequentially distributed over an infinite number of urns labelled 1,2,... so that the urn $j$ at every draw gets a ball with probability $p_j$, $\sum_j p_j=1$. We prove functional central…

Probability · Mathematics 2020-10-28 Mikhail Chebunin , Sergei Zuyev

The Bernoulli sieve is a version of the classical `balls-in-boxes' occupancy scheme, in which random frequencies of infinitely many boxes are produced by a multiplicative renewal process, also known as the residual allocation model or…

Probability · Mathematics 2010-01-28 Alexander Gnedin , Alexander Iksanov , Alexander Marynych

The Bernoulli sieve is the infinite "balls-in-boxes" occupancy scheme with random frequencies $P_k=W_1...W_{k-1}(1-W_k)$, where $(W_k)_{k\in\mn}$ are independent copies of a random variable $W$ taking values in $(0,1)$. Assuming that the…

Probability · Mathematics 2011-04-14 Alexander Iksanov

We investigate a nested balls-in-boxes scheme in a random environment. The boxes follow a nested hierarchy, with infinitely many boxes in each level, and the hitting probabilities of boxes are random and obtained by iterated fragmentation…

Probability · Mathematics 2025-03-21 Oksana Braganets , Alexander Iksanov

The Bernoulli sieve is an infinite occupancy scheme obtained by allocating the points of a uniform $[0,1]$ sample over an infinite collection of intervals made up by successive positions of a multiplicative random walk independent of the…

Probability · Mathematics 2016-09-30 Alexander Iksanov , Wissem Jedidi , Fethi Bouzeffour

We study the following synchronous process that we call "repeated balls-into-bins". The process is started by assigning $n$ balls to $n$ bins in an arbitrary way. In every subsequent round, from each non-empty bin one ball is chosen…

Distributed, Parallel, and Cluster Computing · Computer Science 2016-05-25 Luca Becchetti , Andrea Clementi , Emanuele Natale , Francesco Pasquale , Gustavo Posta
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