Errata for Markov Chains and Mixing TimesAdelmann, AnselmBerestycki, NathanaelBormashenko, OlenaFadnavis, SukhadaFrieze, AlanHolroyd, AnderJiang, JohnJanson, SvanteLubetzky, EyalNachmias, Asaf
豆瓣评分 评价人数不足 评价: 内容简介· ··· This book is an introduction to the modern theory of Markov chains, whose goal is to determine the rate of convergence to the stationary distribution, as a function of state space size and geometry. This topic has important connections to combinat...
Markov chains and mixing times 来自 Semantic Scholar 喜欢 0 阅读量: 4 作者: V Climenhaga 摘要: For our purposes, a Markov chain is a (finite or countable) collection of states S and transition probabilities pij, where i, j ∈ S. We write P = [pij] for the matrix of transition ...
关于Markov链与混合时间=Markov Chains and Mixing Times:英文的作者(美)大卫.A.;来文(David A. Levin),(以)尤瓦尔.佩雷斯(Yuval Peres),(美)伊丽莎白.L.威尔默(Elizabeth .L.Wilmer)著在高等教育出版社
8.1 Markov Chains A Markov chain is a discrete-time stochastic model. It is a generalization of the discrete-time dynamical system model introduced in Section 4.3. Although the model is simple, the number and diversity of applications are surprisingly large. In this section we will introduce the...
Keywords Hard-disk packings · Stability · Markov chains · Hard-disk model · Event-chain Monte Carlo · Mixing times 1 Introduction The hard-disk system is a fundamental statistical-physics model that has been intensely stud- ied since 1953. Numerical simulations, notably Markov-chain Monte ...
6.1 Markov Chains to the Rescue Metropolis et al. [1953] recognized that Markov chains could be applied to difficult sampling problems, and Hastings [1970] constructed what now is referred to as the Metropolis-Hastings algorithm for performing such samplings. Interest in what has come to be know...
In this section we shall investigate the Kemeny constant of Markov chains with an underlying digraph such that the constant is only dependent on the graph structure and not on the actual transition probabilities. For this purpose let D be a strongly connected digraph on n vertices and let ΣD...
Monte Carlo sampling methods using Markov chains and their applications. Biometrika. 1970;57(1): 97–109. 16. Braunschweig L, Meyer AK, Wagenfuhr L, Storch A. Oxygen regulates proliferation of neural stem cells through Wnt/beta-catenin signalling. Mol Cell Neurosci. 2015;67:84–92. 17. Li...
We model the dispatching process in rideshare as a Markov chain that takes into account the geographic mobility of both drivers and riders over time. Prior work explores dispatch policies in the limit of such Markov chains; we characterize when this limit assumption is valid, under a variety of...