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 …

Advanced multiscale modeling and simulation have the potential to dramatically reduce the
time and cost to develop new carbon capture technologies. The Carbon Capture Simulation …

The Multiphase Flow Handbook, Second Edition is a thoroughly updated and reorganized
revision of the late Clayton Crowe's work, and provides a detailed look at the basic concepts …

The analysis of many physical and engineering problems involves running complex
computational models (simulation models, computer codes). With problems of this type, it is …

We retrospectively identified autism spectrum disorder (ASD) incident cases among 31,220
individuals in a population-based birth cohort based on signs and symptoms uniformly …

Structured additive regression (STAR) provides a general framework for complex Gaussian
and non-Gaussian regression models, with predictors comprising arbitrary combinations of …

The R package spikeSlabGAM implements Bayesian variable selection, model choice, and
regularized estimation in (geo-) additive mixed models for Gaussian, binomial, and Poisson …

The paper considers the computer model calibration problem and provides a general
frequentist solution. Under the framework proposed, the data model is semiparametric with a …

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