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Markov chain Monte Carlo

Known as: Monte Carlo markov chain, Markov Chain Monte Carlo Simulations, Markov clustering 
In statistics, Markov chain Monte Carlo (MCMC) methods are a class of algorithms for sampling from a probability distribution based on constructing a… 
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Papers overview

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2007
2007
This article discusses design ideas useful in the development of Markov chain Monte Carlo (MCMC) software. Goals of the design… 
2007
2007
The chord length transform (CLT) is a useful tool to analyze fibre structures. Assuming e.g. a random process of straight fibres… 
Highly Cited
2004
Highly Cited
2004
A self-avoiding walk adsorbing on a line in the square lattice, and on a plane in the cubic lattice, is studied numerically as a… 
2004
2004
Data association is one of the essential parts of a multiple-target-tracking system. The paper introduces a report-track… 
2004
2004
X-ray and Sunyaev-Zel'dovich effect data can be combined to determine the distance to galaxy clusters. High-resolution X-ray data… 
Review
2002
Review
2002
In the following I will give a very brief overview on the background of Markov chain Monte Carlo methodology to the extent… 
2001
2001
Markov chain Monte Carlo (McMC) simulation is a popular computational tool for making inferences from complex, high-dimensional… 
Highly Cited
2000
Highly Cited
2000
We consider the estimation of the state of a discrete-time Markov process using observations which are sets of measurements from… 
2000
2000
Markov chain Monte Carlo methods are frequently used in the analyses of genetic data on pedigrees for the estimation of… 
1999
1999
The first paper introduces a new simulation technique, called semi Markov chain Monte Carlo, suitable for estimating the…