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Highly Cited

2013

Highly Cited

2013

For our purposes, a Markov chain is a (finite or countable) collection of states S and transition probabilities pij, where i, j… Expand

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Highly Cited

2010

Highly Cited

2010

Recommender systems are an important component of many websites. Two of the most popular approaches are based on matrix… Expand

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Highly Cited

2008

Highly Cited

2008

Finite Non-Negative Matrices.- Fundamental Concepts and Results in the Theory of Non-negative Matrices.- Some Secondary Theory… Expand

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Highly Cited

1994

Highly Cited

1994

* Markov Chains * Direct Methods * Iterative Methods * Projection Methods * Block Hessenberg Matrices * Decompositional Methods… Expand

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Highly Cited

1993

Highly Cited

1993

Meyn & Tweedie is back! The bible on Markov chains in general state spaces has been brought up to date to reflect developments in… Expand

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Highly Cited

1991

Highly Cited

1991

We develop bounds for the second largest eigenvalue and spectral gap of a reversible Markov chain. The bounds depend on geometric… Expand

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Highly Cited

1989

Highly Cited

1989

For simple random walk on aN-vertex graph, the mean time to cover all vertices is at leastcN log(N), wherec>0 is an absolute… Expand

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Highly Cited

1986

Highly Cited

1986

The paper develops a procedure for finding a discrete-valued Markov chain whose sample paths approximate well those of a vector… Expand

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Highly Cited

1980

Highly Cited

1980

In this paper we present a class of C*-algebras and point out its close relationship to topological Markov chains, whose theory… Expand

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Highly Cited

1970

Highly Cited

1970

SUMMARY A generalization of the sampling method introduced by Metropolis et al. (1953) is presented along with an exposition of… Expand

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