Efficient Monte Carlo sampling by parallel marginalization
Efficient Monte Carlo sampling by parallel marginalization
Markov chain Monte Carlo sampling methods often suffer from long correlation times. Consequently, these methods must be run for many steps to generate an independent sample. In this paper, a method is proposed to overcome this difficulty. The method utilizes information from rapidly equilibrating coarse Markov chains that sample marginal …