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Practical drift conditions for subgeometric rates of convergence

Research output: Contribution to journalArticlepeer-review

Abstract

We present a new drift condition which implies rates of convergence to the stationary distribution of the iterates of a ψ-irreducible aperiodic and positive recurrent transition kernel. This condition, extending a condition introduced by Jarner and Roberts [Ann. Appl. Probab. 12 (2002) 224-247] for polynomial convergence rates, turns out to be very convenient to prove subgeometric rates of convergence. Several applications are presented including nonlinear autoregressive models, stochastic unit root models and multidimensional random walk Hastings-Metropolis algorithms.

Original languageEnglish
Pages (from-to)1353-1377
Number of pages25
JournalAnnals of Applied Probability
Volume14
Issue number3
DOIs
Publication statusPublished - 1 Aug 2004

Keywords

  • Markov chains
  • Rate of convergence
  • Stationary distribution

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