Modeling experiments with qualitative and quantitative factors is an important issue in
computer modeling. We propose a framework for building Gaussian process models that
incorporate both types of factors. The key to the development of these new models is an
approach for constructing correlation functions with qualitative and quantitative factors. An
iterative estimation procedure is developed for the proposed models. Modern optimization
techniques are used in the estimation to ensure the validity of the constructed correlation …

Modeling experiments with qualitative and quantitative factors is an important issue in
computer modeling. A framework for building Gaussian process models that incorporate
both types of factors is proposed. The key to the development of these new models is an
approach for constructing correlation functions with qualitative and quantitative factors. An
iterative estimation procedure is developed for the proposed models. Modern optimization
techniques are used in the estimation to ensure the validity of the constructed correlation …