Scientists and engineers commonly use simulation models to study real systems for which
actual experimentation is costly, difficult, or impossible. Many simulations are stochastic in …

Computer model calibration is a crucial step in building a reliable computer model. In the
face of massive physical observations, a fast estimation of the calibration parameters is …

Kriging is a powerful technique to emulate computer experiments. The purpose of this paper
is to construct interleaved lattice-based designs that are most suitable for Kriging. Firstly, we …

Inspired by multi-fidelity methods in computer simulations, this article introduces procedures
to design surrogates for the input/output relationship of a high-fidelity code. These …

Stochastic kriging has been widely employed for simulation metamodeling to predict the
response surface of complex simulation models. However, its use is limited to cases where …

Space-filling designs are popular choices for computer experiments. A sliced design is a
design that can be partitioned into several subdesigns. We propose a new type of sliced …

Experimental designs that spread points apart from each other on projections are important
for computer experiments, when not necessarily all factors have a substantial influence on …

We propose a new method to construct maximin distance designs with arbitrary numbers of
dimensions and points. The proposed designs hold interleaved-layer structures and are by …

We propose a new method for constructing minimax distance designs, which are useful for
computer experiments. To circumvent computational difficulties, we consider designs with an …

Space-filling design selects points uniformly in the experimental space, bringing
considerable flexibility to the complex-model-based and model-free data analysis. At …