Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
1151938 | Statistics & Probability Letters | 2014 | 6 Pages |
Abstract
We consider a stochastic image restoration model proposed by A. Gibbs (2004), and give an upper bound on the time it takes for a Markov chain defined by this model to be ϵ-close in total variation to equilibrium. We use Gibbs' result for convergence in the Wasserstein metric to arrive at our result. Our bound for the time to equilibrium of similar order to that of Gibbs.
Related Topics
Physical Sciences and Engineering
Mathematics
Statistics and Probability
Authors
Oliver Jovanovski,