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The time process of transport on randomly evolving trees is investigated. By introducing the notions of living and dead nodes a model of random tree evolution is constructed which describes the spreading in time of objects corresponding to…

Statistical Mechanics · Physics 2009-11-11 L. Pal

The paper introduces the concept of a cluster structure to define a joint distribution of the sample size and its exchangeable random partitions. The cluster structure allows the probability distribution of the random partitions of a subset…

Methodology · Statistics 2013-10-08 Mingyuan Zhou

The general relationship between an arbitrary frequency distribution and the expectation value of the frequency distributions of its samples is esablished. A set of combinations of expectation values whose value does not in general depend…

Data Analysis, Statistics and Probability · Physics 2012-10-05 Paolo Rossi

Study of charged particle multiplicity distribution in high energy interactions of particles helps in revealing the dynamics of particle production and the underlying statistical patterns, which these distributions follow. Several…

High Energy Physics - Phenomenology · Physics 2020-01-30 R. Aggarwal , M. Kaur

The hitting partitions are random partitions that arise from the investigation of so-called hitting scenarios of max-infinitely-divisible (max-i.d.)~distributions. We study a class of max-i.d.~laws with exchangeable hitting partitions…

Probability · Mathematics 2018-10-02 Stilian Stoev , Yizao Wang

Genetic and evolution algebras arise naturally from applied probability and stochastic processes. Gibbs measures describe interacting systems commonly studied in thermodynamics and statistical mechanics with applications in several fields.…

Mathematical Physics · Physics 2025-05-05 Cristian F. Coletti , Lucas R. de Lima , Denis A. Luiz

These are extended notes for my talk at the ICMP 2003 in Lisbon. Our goal here is to demonstrate how natural and fundamental random partitions are from many different points of view. We discuss various natural measures on partitions, their…

Mathematical Physics · Physics 2007-05-23 Andrei Okounkov

A central problem in computational statistics is to convert a procedure for sampling combinatorial from an objects into a procedure for counting those objects, and vice versa. Weconsider sampling problems coming from *Gibbs distributions*,…

Probability · Mathematics 2023-08-21 David G. Harris , Vladimir Kolmogorov

We examine an elementary problem on prime divisibility of binomial coefficients. Our problem is motivated by several related questions on alternating groups.

Combinatorics · Mathematics 2017-10-24 John Shareshian , Russ Woodroofe

Gibbs random fields play an important role in statistics. However they are complicated to work with due to an intractability of the likelihood function and there has been much work devoted to finding computational algorithms to allow…

Methodology · Statistics 2014-04-01 Nial Friel

I review progress on selected issues connected with generalized parton distributions. Topics range from the description of hard exclusive reactions to the spatial distribution of quarks in the nucleon and the contribution of their orbital…

High Energy Physics - Phenomenology · Physics 2009-11-11 M. Diehl

Dynamical scaling in ageing systems, notably in phase-ordering kinetics, is well-established. New evidence in favour of Galilei-invariance in phase-ordering kinetics is reviewed.

Statistical Mechanics · Physics 2009-11-11 Malte Henkel

Noise is a result of stochastic processes that originate from quantum or classical sources. Higher-order cumulants of the probability distribution underlying the stochastic events are believed to contain details that characterize the…

Mesoscale and Nanoscale Physics · Physics 2009-07-01 Christian Flindt , Christian Fricke , Frank Hohls , Tomas Novotny , Karel Netocny , Tobias Brandes , Rolf J. Haug

In this paper we describe how MAP inference can be used to sample efficiently from Gibbs distributions. Specifically, we provide means for drawing either approximate or unbiased samples from Gibbs' distributions by introducing low…

Machine Learning · Computer Science 2013-10-01 Tamir Hazan , Subhransu Maji , Tommi Jaakkola

Estimating the probability distribution 'q' governing the behaviour of a certain variable by sampling its value a finite number of times most typically involves an error. Successive measurements allow the construction of a histogram, or…

Statistical Mechanics · Physics 2009-11-07 Ines Samengo

A simple method, inspired by procedures used in physics of nuclear multifragmentation, allows to establish order of precedence and age of pairs of haplotypes separated by one mutation. For both haplotypes of the pair, searches for existing…

Data Analysis, Statistics and Probability · Physics 2013-03-12 Martin Veselsky

We consider procedures of sampling parts from a random integer partition. We determine asymptotically the probabilty distribution of the randomly-selected part whenever the positive integer that is partitioned becomes large.

Probability · Mathematics 2014-02-18 Ljuben Mutafchiev

For many applications one wishes to decide whether a certain set of numbers originates from an equiprobability distribution or whether they are unequally distributed. Distributions of relative frequencies may deviate significantly from the…

Genomics · Quantitative Biology 2007-05-23 Thorsten Poeschel , Cornelius Froemmel , Christoph Gille

We compute the limit shapes of the Young diagrams of the minimal difference $p$ partitions and provide a simple physical interpretation for the limit shapes. We also calculate the asymptotic distribution of the largest part of the Young…

Statistical Mechanics · Physics 2022-01-17 Alain Comtet , Satya N. Majumdar , Stephane Ouvry , Sanjib Sabhapandit

Gibbs partitions of the integers generated by stable subordinators of index $\alpha\in(0,1)$ form remarkable classes of random partitions where in principle much is known about their properties, including practically effortless obtainment…

Probability · Mathematics 2022-11-22 Man Wai Ho , Lancelot F. James , John W. Lau