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 language | English |
|---|---|
| Pages (from-to) | 1353-1377 |
| Number of pages | 25 |
| Journal | Annals of Applied Probability |
| Volume | 14 |
| Issue number | 3 |
| DOIs | |
| Publication status | Published - 1 Aug 2004 |
Keywords
- Markov chains
- Rate of convergence
- Stationary distribution
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