Paper No. 09-04
T Marshall and GO Roberts
An ergodicity result for adaptive Langevin algorithms
Date: March 2009
Abstract: We consider a class of adaptiveMCMC algorithms using a Langevin-type proposal density. We prove that these are algorithms are ergodic when the target density has exponential tail behaviour. Unlike previous results, our approach does not require bounding the drift function.
