• Corpus ID: 433545

The Markov chain Monte Carlo method: an approach to approximate counting and integration

@inproceedings{Jerrum1996TheMC,
  title={The Markov chain Monte Carlo method: an approach to approximate counting and integration},
  author={Mark Jerrum and Alistair Sinclair},
  year={1996}
}
In the area of statistical physics, Monte Carlo algorithms based on Markov chain simulation have been in use for many years. The validity of these algorithms depends crucially on the rate of convergence to equilibrium of the Markov chain being simulated. Unfortunately, the classical theory of stochastic processes hardly touches on the sort of non-asymptotic analysis required in this application. As a consequence, it had previously not been possible to make useful, mathematically rigorous… 

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