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Fluctuations of interacting Markov chain Monte Carlo methods


  • Bercu, Bernard
  • Del Moral, Pierre
  • Doucet, Arnaud


We present a multivariate central limit theorem for a general class of interacting Markov chain Monte Carlo algorithms used to solve nonlinear measure-valued equations. These algorithms generate stochastic processes which belong to the class of nonlinear Markov chains interacting with their empirical occupation measures. We develop an original theoretical analysis based on resolvent operators and semigroup techniques to analyze the fluctuations of their occupation measures around their limiting values.

Suggested Citation

  • Bercu, Bernard & Del Moral, Pierre & Doucet, Arnaud, 2012. "Fluctuations of interacting Markov chain Monte Carlo methods," Stochastic Processes and their Applications, Elsevier, vol. 122(4), pages 1304-1331.
  • Handle: RePEc:eee:spapps:v:122:y:2012:i:4:p:1304-1331
    DOI: 10.1016/

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