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Related papers: On generalized P\'olya urn models

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We study two models of the Majority problem. We are given n balls and an unknown coloring of them with two colors. We can ask sets of balls of size k as queries, and in the so-called General Model the answer to a query shows if all the…

Combinatorics · Mathematics 2018-09-03 Dániel Gerbner , Máté Vizer

In this paper we show how to extend the Sample-Path Large Deviation Principle for the urn model of Hill, Lane and Sudderth to the case in which the increment of the urn is not a binary variable. In particular, we sketch how to modify the…

Probability · Mathematics 2025-11-19 Simone Franchini

Let P_{n,m} denote the graph taken uniformly at random from the set of all planar graphs on {1,2,..., n} with exactly m(n) edges. We use counting arguments to investigate the probability that P_{n,m} will contain given components and…

Combinatorics · Mathematics 2011-01-27 Chris Dowden

The geometry of unit $N$-dimensional $\ell_{p}$ balls has been intensively investigated in the past decades. A particular topic of interest has been the study of the asymptotics of their projections. Apart from their intrinsic interest,…

Probability · Mathematics 2010-10-22 Franck Barthe , Fabrice Gamboa , Li-Vang Lozada-Chang , Alain Rouault

It is known that in an irreducible small P\'olya urn process, the composition of the urn after suitable normalization converges in distribution to a normal distribution. We show that if the urn also is balanced, this normal convergence…

Probability · Mathematics 2016-06-23 Svante Janson , Nicolas Pouyanne

In this paper, we prove functional limit theorems for P\'olya urn processes whose number of draws and initial number of balls tend to infinity together. This is motivated by recent work of Borovkov [5], where they prove a functional limit…

Probability · Mathematics 2022-06-13 Christopher B. C. Dean

P\'olya processes are natural generalization of P\'olya-Eggenberger urn models. This article presents a new approach of their asymptotic behaviour {\it via} moments, based on the spectral decomposition of a suitable finite difference…

Combinatorics · Mathematics 2015-06-26 Nicolas Pouyanne

I present a generalization of the Ehrenfest urn model that is aimed at simulating the approach to equilibrium in a dilute gas. The present model differs from the original one in two respects: 1) the two boxes have different volumes and are…

Statistical Mechanics · Physics 2009-11-10 S. Prestipino

Bona [2007+] studied the distribution of ascents, plateaux and descents in the class of Stirling permutations, introduced by Gessel and Stanley [1978]. Recently, Janson [2008+] showed the connection between Stirling permutations and plane…

Combinatorics · Mathematics 2008-05-28 Svante Janson , Markus Kuba , Alois Panholzer

Consider a graph G with n nodes and m edges, which represents a social network, and assume that initially each node is blue or white. In each round, all nodes simultaneously update their color to the most frequent color in their…

Data Structures and Algorithms · Computer Science 2023-02-15 Ahad N. Zehmakan

This paper presents the link between stochastic approximation and clinical trials based on randomized urn models investigated in Bai and Hu (1999,2005) and Bai, Hu and Shen (2002). We reformulate the dynamics of both the urn composition and…

Probability · Mathematics 2017-01-19 Sophie Laruelle , Gilles Pagès

Urn models have been widely studied and applied in both scientific and social science disciplines. In clinical studies, the adoption of urn models in treatment allocation schemes has been proved to be beneficial to both researchers, by…

Statistics Theory · Mathematics 2015-03-13 Li-Xin Zhang , Feifang Hu , Siu Hung Cheung , Wei Sum Chan

We consider a Polya urn, started with b black and w white balls, where b>w. We compute the probability that there are ever the same number of black and white balls in the urn, and show that it is twice the probability of getting no more…

Probability · Mathematics 2012-09-17 Timothy C. Wallstrom

Working in combinatorial model $\mathrm{W_{co}}(d)$, $d=1,2,\dots$, of P\'olya's random walker in $\mathbb{Z}^d$, we prove two theorems on recurrence to a vertex. We obtain an effective version of the first theorem if $d=2$. Using a…

Probability · Mathematics 2025-05-29 Martin Klazar , Richard Horský

In this paper, we initiate the study of "Generalized Divide and Color Models". A very special interesting case of this is the "Divide and Color Model" (which motivates the name we use) introduced and studied by Olle H\"aggstr\"om. In this…

Probability · Mathematics 2017-02-15 Jeffrey E. Steif , Johan Tykesson

A generalization of Gy's theory for the variance of the fundamental sampling error is reviewed. Practical situations where the generalized model potentially leads to more accurate variance estimates are identified as: clustering of…

Applications · Statistics 2009-11-10 Bastiaan Geelhoed

Using P\'{o}lya's urn model with negative replacement we introduce a new Bernstein-type operator and we show that the new operator improves upon the known estimates for the classical Bernstein operator. We also provide numerical evidence…

Classical Analysis and ODEs · Mathematics 2017-10-25 Mihai N. Pascu , Nicolae R. Pascu , Florenţa Tripşa

We consider the distinct elements problem, where the goal is to estimate the number of distinct colors in an urn containing $ k $ balls based on $n$ samples drawn with replacements. Based on discrete polynomial approximation and…

Statistics Theory · Mathematics 2018-01-16 Yihong Wu , Pengkun Yang

Generalized Friedman urn is one of the simplest and most useful models considered in probability theory. Since Athreya and Ney (1972) showed the almost sure convergence of urn proportions in a randomized urn model with irreducible…

Probability · Mathematics 2022-04-12 Li-Xin Zhang

Ehrenfest's diffusion model is a well-known classical physical model consisting of two urns and n balls. A group theoretical interpretation of the model by using the Gelfand pair (Z/2Zwr S_{n},S_{n}) is provided by Diaconis-Shahshahani.…

Probability · Mathematics 2016-01-18 Hiroshi Mizukawa