Abstract
We study a Monte Carlo algorithm for computing marginal and stationary densities of stochastic models with the Markov property, establishing global asymptotic normality and OP(n-1/2) convergence. Asymptotic normality is used to derive error bounds in terms of the distribution of the norm deviation.
| Original language | English |
|---|---|
| Pages (from-to) | 443-450 |
| Number of pages | 8 |
| Journal | Econometrica |
| Volume | 76 |
| Issue number | 2 |
| DOIs | |
| Publication status | Published - Mar 2008 |
| Externally published | Yes |