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A variant of the Metropolis algorithm is proposed that allows parallel processing. Rather than generating a sin- gle candidate point, as in the Metropolis algorithm, for each chain iteration a number of candidates are generated. Energy calculations for each of these candidates can be carried out in parallel. This algorithm would be advantageous in fitting model parameters to data in a Bayesian context, where the forward model calculations (the analog of the energy calcula- tions), are time consuming.

Markov Chain Monte Carlo Calculations Allowing Parallel Processing Using a Variant of the Metropolis Algorithm~!2009-12-30~!2010-03-01~!2010-05-12~!