A new method combines multifidelity techniques to improve model accuracy with limited data.
problem Improving model accuracy with sparse accurate observations and stochastic simulation models.
method Combines bifidelity and CoKriging methods to estimate empirical statistics and construct a Gaussian process.
result Preserves linear physical constraints up to an error bound, leading to accurate model construction.