Experiments have long been used to study the relationship between a set of inputs to a
physical system and the resulting output. Termed physical experiments in this text, there is a …

In this paper we provide a broad introduction to the topic of computer experiments. We begin
by briefly presenting a number of applications with different types of output or different goals …

Modeling experiments with qualitative and quantitative factors is an important issue in
computer modeling. We propose a framework for building Gaussian process models that …

This article proposes a method for constructing a new type of space-filling design, called a
sliced Latin hypercube design, intended for running computer experiments. Such a design is …

In this article, we review and reexamine approaches to modeling computer experiments with
qualitative and quantitative input variables. For those not familiar with models for computer …

We propose a flexible yet computationally efficient approach for building Gaussian process
models for computer experiments with both qualitative and quantitative factors. This …

A growing trend in engineering and science is to use multiple computer codes with different
levels of accuracy to study the same complex system. We propose a framework for …

Global climate models (GCMs) contain imprecisely defined parameters that account,
approximately, for subgrid-scale physical processes. The response of a GCM to …

Gaussian processes (GPs) are widely used as a metamodel for emulating time-consuming
computer codes. We focus on problems involving categorical inputs, with a potentially large …

Computer experiments with qualitative and quantitative factors occur frequently in various
applications in science and engineering. Analysis of such experiments is not yet completely …