Marko Jarvenpaa

Batch simulations and uncertainty quantification in Gaussian process surrogate approximate Bayesian computation

The computational efficiency of approximate Bayesian computation (ABC) has been improved by using surrogate models such as Gaussian processes (GP). In one such promising framework the discrepancy between the simulated and observed data is modelled with a GP which is further used to form a model-base…