Results 11 to 20 of about 116,111 (309)
Segregating Markov Chains [PDF]
Journal of Theoretical Probability, 2017 Dealing with finite Markov chains in discrete time, the focus often lies on convergence behavior and one tries to make different copies of the chain meet as fast as possible and then stick together. There is, however, a very peculiar kind of discrete finite Markov chain, for which two copies started in different states can be coupled to meet almost ...
Timo Hirscher, Anders Martinsson
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Journal of Applied Probability, 2003 We study irreducible time-homogenous Markov chains with finite state space in discrete time. We obtain results on the sensitivity of the stationary distribution and other statistical quantities with respect to perturbations of the transition matrix. We define a new closeness relation between transition matrices, and use graph-theoretic techniques, in ...
Eilon Solan, Nicolas Vieille
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Electronic Journal of Probability, 2023 36 pages, 9 ...
Defant, Colin, Li, Rupert
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Integration of fast fluid dynamics and Markov chain model for predicting transient particle transport in buildings [PDF]
E3S Web of Conferences, 2019 Fast simulation tools for the prediction of transient particle transport are critical in designing the air distribution indoors to reduce the exposure to indoor particles and associated health risks.
Liu Wei, Chen Chun
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A rapidly mixing Markov chain from any gapped quantum many-body system [PDF]
Quantum, 2023 We consider the computational task of sampling a bit string $x$ from a distribution $\pi(x)=|\langle x|\psi\rangle|^2$, where $\psi$ is the unique ground state of a local Hamiltonian $H$.
Sergey Bravyi +3 more
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Journal of Inequalities and Applications, 2009 We study some limit properties of the harmonic mean of random transition probability for a second-order nonhomogeneous Markov chain and a nonhomogeneous Markov chain indexed by a tree.
Shi Zhiyan, Yang Weiguo
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, 2018 This book covers the classical theory of Markov chains on general state-spaces as well as many recent developments. The theoretical results are illustrated by simple examples, many of which are taken from Markov Chain Monte Carlo methods. The book is self-contained, while all the results are carefully and concisely proven.
Douc, Randal +3 more
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Forum of Mathematics, Sigma, 2023 Let G be a finite group. Let $H, K$ be subgroups of G and $H \backslash G / K$ the double coset space. If Q is a probability on G which is constant on conjugacy classes ( $Q(s^{-1} t s) = Q(t)$ ), then the random walk driven by Q on G ...
Persi Diaconis +2 more
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Modeling Investment Trends: A Logarithmic-Modified Markov Chain Approach
Journal of Statistical Theory and Applications (JSTA), 2020 The study aimed at stabilizing the changing variance using the logarithmic transformation to achieve a significant proportion of stability and a faster rate of convergence of the steady state transition probability in Markov chains.
Imoh Udo Moffat +2 more
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Prediction of passenger movement indexes using Holt Winters Markov chain model [PDF]
Muṭāli̒āt-i Mudīriyyat-i Ṣan̒atī, 2016 In order to predict the values of passengers movement indexes which enjoy seasonal changes, this research uses Holt Winters Markov chain model, which is a combination of Markov chain and Holt Winters models.
Fatemeh haghighat, Fariborz Golai
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