Markov chain

Known as: Discrete time Markov chain, Discrete-time Markov process, Markoff Chain 
In probability theory and statistics, a Markov chain or Markoff chain, named after the Russian mathematician Andrey Markov, is a stochastic process… (More)
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1936-2019
02000400019362018

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Highly Cited
2005
Highly Cited
2005
  • B Y W. K. HASTINGS
  • 2005
A generalization of the sampling method introduced by Metropolis et al. (1953) is presented along with an exposition of the… (More)
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Highly Cited
2004
Highly Cited
2004
We consider a symmetric random walk on a connected graph, where each edge is labeled with the probability of transition between… (More)
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Highly Cited
2003
Highly Cited
2003
Continuous-time Markov chains (CTMCs) have been widely used to determine system performance and dependability characteristics… (More)
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Highly Cited
2002
Highly Cited
2002
ion obviously has no impact on Markovian transitions. It is thus easily adapted from Definition 2.1.4. Definition 4.2.3. Let P be… (More)
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Highly Cited
2000
Highly Cited
2000
Your use of the JSTOR archive indicates your acceptance of JSTOR's Terms and Conditions of Use, available at http://www.jstor.org… (More)
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Highly Cited
1998
Highly Cited
1998
Wavelet-based statistical signal processing techniques such as denoising and detection typically model the wavelet coefficients… (More)
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Highly Cited
1996
Highly Cited
1996
For many applications it is useful to sample from a nite set of objects in accordance with some particular distribution. One… (More)
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Highly Cited
1994
Highly Cited
1994
Markov chain sampling has recently received considerable attention in particular in the context of Bayesian computation and… (More)
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Highly Cited
1994
Highly Cited
1994
AbstructStatistical testing of software establishes a basis for statistical inference about a software system's expected field… (More)
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Highly Cited
1991
Highly Cited
1991
Your use of the JSTOR archive indicates your acceptance of JSTOR's Terms and Conditions of Use, available at http://www.jstor.org… (More)
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