Results 281 to 290 of about 1,853,662 (312)
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On Clusters in Markov Chains

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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On sampling with Markov chains

Random Structures and Algorithms, 1996
zbMATH 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, 1969
Geological 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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Inhomogeneous Markov Chains

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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The Markov chain of colourings

1995
The 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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Heuristics as Markov chains

Annals of Mathematics and Artificial Intelligence, 2014
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
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Transients in Markov Chains

IEEE Transactions on Electronic Computers, 1963
Jack Sklansky, Kenneth R. Kaplan
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Markov Chains and Monte Carlo Markov Chains

2013
The 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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On a -Mixing property for Entangled Markov Chains

Physica A: Statistical Mechanics and Its Applications, 2023
Abdessatar Souissi
exaly  

Markov Chain Robustness.

When a Markov chain models nature or social interactions, it is likely not followed exactly, but only approximately. We therefore introduce several notions of robustness for a Markov chain P. Our standard adversary can dynamically change transition probabilities of P by 1 ± ε, and our strong adversary can completely control each transition ...
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