نتایج جستجو برای: generalizedpolya urn models

تعداد نتایج: 908827  

2008
Paul Franceschi

I describe in this paper an ontological solution to the Sleeping Beauty problem. I begin with describing the Entanglement urn experiment. I restate first the Sleeping Beauty problem from a wider perspective than the usual opposition between halfers and thirders. I also argue that the Sleeping Beauty experiment is best modelled with the Entanglement urn. I draw then the consequences of consideri...

2008
Paul Franceschi

I describe in this paper an ontological solution to the Sleeping Beauty problem. I begin with describing the Entanglement urn experiment. I restate first the Sleeping Beauty problem from a wider perspective than the usual opposition between halfers and thirders. I also argue that the Sleeping Beauty experiment is best modelled with the Entanglement urn. I draw then the consequences of consideri...

Journal: :Statistics & Probability Letters 2022

We consider a randomized urn model with objects of finitely many colors. The replacement matrices are random, and conditionally independent the color chosen given past. Further, conditional expectations close to an almost surely irreducible matrix. obtain sure $L^1$ convergence configuration vector, proportion vector count vector. show that first moment is sufficient for i.i.d.\ past choices. T...

Journal: :RFC 1999
Leslie Daigle Dirk-Willem van Gulik Renato Iannella Patrik Faltstrom

The URN WG has defined a syntax for Uniform Resource Names (URNs) [RFC2141], as well as some proposed mechanisms for their resolution and use in Internet applications ([RFCXXXX], [RFCYYYY]). The whole rests on the concept of individual "namespaces" within the URN structure. Apart from proof-of-concept namespaces, the use of existing identifiers in URNs has been discussed ([RFC2288]), and this d...

2007
José A. Moler Fernando Plo Miguel San Miguel Henar Urmeneta

There are three processes associated to a generalized Pólya urn model. First, the process that represents the proportion of balls of each type in the urn. As in each step a ball is drawn from the urn, its type is noted, and it is placed back in the urn, the second process represents the proportion of balls of each type that have been drawn from the urn. As the replacement policy consists in app...

Journal: :The Annals of Probability 2011

Journal: :Discrete Mathematics & Theoretical Computer Science 2010
Guy Louchard Helmut Prodinger

Following the model of Bondesson, Nilsson, and Wikstrand, we consider randomly filled urns, where the probability of falling into urn i is the geometric probability (1− q)qi−1. Assuming n independent random entries, and a fixed parameter k, the interest is in the following parameters: Let T be the smallest index, such that urn T is non-empty, but the following k are empty, then: XT = number of ...

2004
Paul Franceschi

In this paper, I present a solution to the Doomsday argument based on a third type of solution, by contrast to on the one hand, the Carter-Leslie view and on the other hand, the Eckhardt et al. analysis. I begin by strengthening both competing models by highlighting some variations of their ancestors models, which renders them less vulnerable to some objections. I describe then a third line of ...

Journal: :Journal of mathematical biology 1987
F M Hoppe

The behaviour of a Pólya-like urn which generates Ewens' sampling formula in population genetics is investigated. Connections are made with work of Watterson and Kingman and to the Poisson-Dirichlet distribution. The order in which novel types occur in the urn is shown to parallel the age distribution of the infinitely many alleles diffusion model and consequences of this property are explored....

Journal: :Mathematics 2021

Measure-valued Pólya urn processes (MVPP) are Markov chains with an additive structure that serve as extension of the generalized k-color model towards a continuum possible colors. We prove that, for any MVPP (μn)n≥0 on Polish space X, normalized sequence (μn/μn(X))n≥0 agrees marginal predictive distributions some random process (Xn)n≥1. Moreover, μn=μn−1+RXn, n≥1, where x↦Rx is transition kern...

نمودار تعداد نتایج جستجو در هر سال

با کلیک روی نمودار نتایج را به سال انتشار فیلتر کنید