Recently developed adaptive Markov chain Monte Carlo (MCMC) methods have been applied successfully to many problems in Bayesian statistics. Grapham is a new open source implementat...
A new approach for overcoming broken ergodicity in Markov Chain Monte Carlo (MCMC) simulations of complex systems is described. The problem of broken ergodicity is often present i...
In past work, the Metropolis Algorithm along with Gibbs Priors was used to successfully segment two-dimensional noisy gray images into a small finite number of labels. In applicat...