Accelerating computational Bayesian inference for stochastic biochemical reaction network models using multilevel Monte Carlo sampling
David J. Warne, Ruth E. Baker, Matthew J. Simpson
This study introduces a multilevel Monte Carlo sampling method to accelerate Bayesian inference for stochastic biochemical reaction network models, achieving up to an order of magnitude computational gain with minimal accuracy loss.
bioRxiv · Jul 15, 2016 · PreprintSystems Biology