Results 271 to 280 of about 771,482 (302)
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1992
Abstract In Section 7.3, we briefly introduced models for Markov chains in the simple case where there were only two possible responses: an event occurs or not. However, such models have much wider application. In continuous time models, where each subject is in one of several possible states at any given point, they are often called ...
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Abstract In Section 7.3, we briefly introduced models for Markov chains in the simple case where there were only two possible responses: an event occurs or not. However, such models have much wider application. In continuous time models, where each subject is in one of several possible states at any given point, they are often called ...
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2006
Motivated by the computational difficulty of analyzing very large Markov chains, we define a notion of clusters in (not necessarily reversible) Markov chains, and explore the possibility of analyzing a cluster “in vitro,” without regard to the remainder of the chain.
Nir Ailon, Steve Chien, Cynthia Dwork
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Motivated by the computational difficulty of analyzing very large Markov chains, we define a notion of clusters in (not necessarily reversible) Markov chains, and explore the possibility of analyzing a cluster “in vitro,” without regard to the remainder of the chain.
Nir Ailon, Steve Chien, Cynthia Dwork
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On sampling with Markov chains
Random Structures and Algorithms, 1996zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Fan R. K. Chung +2 more
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Markov chains and embedded Markov chains in geology
Journal of the International Association for Mathematical Geology, 1969Geological data are structured as first-order, discrete-state discrete-time Markov chains in two main ways. In one, observations are spaced equally in time or space to yield transition probability matrices with nonzero elements in the main diagonal; in the other, only state transitions are recorded, to yield matrices with diagonal elements exactly ...
W. C. Krumbein, Michael F. Dacey
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Theory of Probability & Its Applications, 1961
This paper discusses some new results related to ergodic and limit theorems and also to the repeated logarithm low for inhomogeneous Markov chains. Theorems are formulated and proved for conditions that were not treated in the literature; some estimates obtained previously by S. N. Bernshtein are employed.Lemma 1 is of greatest importance in the paper.
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This paper discusses some new results related to ergodic and limit theorems and also to the repeated logarithm low for inhomogeneous Markov chains. Theorems are formulated and proved for conditions that were not treated in the literature; some estimates obtained previously by S. N. Bernshtein are employed.Lemma 1 is of greatest importance in the paper.
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The Markov chain of colourings
1995The Markov chain of good (proper) colourings of an n-vertex graph starts with an n-colouring and converges to a uniform distribution over all proper colourings with at most n colours. We study theoretically and experimentally the behaviour of this chain and concentrate in particular on a quantity μ which is the mean number of colours used in the ...
J. Eric Bartels, Dominic Welsh
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Annals of Mathematics and Artificial Intelligence, 2014
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
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zbMATH Open Web Interface contents unavailable due to conflicting licenses.
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On a ψ-Mixing property for Entangled Markov Chains
Physica A: Statistical Mechanics and Its Applications, 2023Abdessatar Souissi +1 more
exaly
IEEE Transactions on Electronic Computers, 1963
Jack Sklansky, Kenneth R. Kaplan
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Jack Sklansky, Kenneth R. Kaplan
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Markov Chains and Monte Carlo Markov Chains
2013The theory of Markov chains is rooted in the work of Russian mathematician Andrey Markov, and has an extensive body of literature to establish its mathematical foundations. The availability of computing resources has recently made it possible to use Markov chains to analyze a variety of scientific data, and Monte Carlo Markov chains are now one of the ...
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