Fluctuations of interacting Markov chain Monte Carlo methods. (English) Zbl 1244.60043
Authors’ abstract: 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.
Reviewer: Ferenc Móricz (Szeged)
MSC:
| 60G35 | Signal detection and filtering (aspects of stochastic processes) |
| 60J85 | Applications of branching processes |
Keywords:
multivariate central limit theorems; random fields; martingale limit theorems; self-interacting Markov chains; Markov chain Monte Carlo algorithmsReferences:
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