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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 2012-04-19 Alexander Iksanov

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

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 a random allocation scheme obtained by placing independent points with the uniform [0,1] law into the intervals made up by successive positions of a multiplicative random walk with factors taking values in the…

Probability · Mathematics 2013-04-17 Alexander Iksanov , Alexander Marynych , Vladimir Vatutin

We consider an occupancy scheme in which "balls" are identified with $n$ points sampled from the standard exponential distribution, while the role of "boxes" is played by the spacings induced by an independent random walk with positive and…

Probability · Mathematics 2009-09-01 Alexander V. Gnedin , Alexander M. Iksanov , Pavlo Negadajlov , Uwe Rösler

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

The Bernoulli sieve is the infinite Karlin "balls-in-boxes" scheme with random probabilities of stick-breaking type. Assuming that the number of placed balls equals $n$, we prove several functional limit theorems (FLTs) in the Skorohod…

Probability · Mathematics 2016-01-19 Gerold Alsmeyer , Alexander Iksanov , Alexander Marynych

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 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

Bernoulli sieve is a recursive construction of a random composition (ordered partition) of integer $n$. This composition can be induced by sampling from a random discrete distribution which has frequencies equal to the sizes of component…

Probability · Mathematics 2014-10-01 Alexander Gnedin

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

For $p \in (0,1)$, sample a binary sequence from the infinite product measure of Bernoulli$(p)$ distributions. It is known that for $p=1/2$, almost every binary sequence is Poisson generic in the sense of Peres and Weiss, a property that…

Probability · Mathematics 2025-09-30 Jon V. Kogan , Nicolò Paviato

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

Local perturbations in conservative particle systems can have a non-local influence on the stationary measure. To capture this phenomenon, we analyze in this paper two toy models. We study the symmetric exclusion process on a countable set…

Probability · Mathematics 2024-10-25 Frank Redig , Ellen Saada

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

We consider the classic infinite occupancy scheme, where balls are thrown in boxes independently, with probability $p_j$ of hitting box $j$. Each time a box receives its first ball we speak of a record and, more generally, call an…

Probability · Mathematics 2024-11-14 Zakaria Derbazi , Alexander Gnedin , Alexander Marynych

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 the extreme value of a Bernoulli random walk on the one-dimensional integer lattice, with reflection at 0, over a finite discrete time interval. Only the asymmetric (biased) case is discussed. Asymptotic mean/variance results are…

History and Overview · Mathematics 2018-08-27 Steven R. Finch

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,…

Probability · Mathematics 2008-04-21 Alexander Gnedin , Alex Iksanov , Uwe Roesler

A Bernoulli Gibbsian line ensemble $\mathfrak{L} = (L_1, \dots, L_N)$ is the law of the trajectories of $N-1$ independent Bernoulli random walkers $L_1, \dots, L_{N-1}$ with possibly random initial and terminal locations that are…

Probability · Mathematics 2021-09-29 Evgeni Dimitrov , Xiang Fang , Lukas Fesser , Christian Serio , Carson Teitler , Angela Wang , Weitao Zhu
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