Full scale aerodynamic wind tunnel testing, numerical simulation of high dimensional (full-
order) aerodynamic models or flight testing are some of the fundamental but complex steps …

This chapter surveys work dedicated to macroeconomic analysis using an agent-based
modeling approach. After a short review of the origins and general characteristics of this …

Latin hypercube sampling (LHS) is generalized in terms of a spectrum of stratified sampling
(SS) designs referred to as partially stratified sample (PSS) designs. True SS and LHS are …

Since the survey by Windrum et al.(Journal of Artificial Societies and Social Simulation 10: 8,
2007), research on empirical validation of agent-based models in economics has made …

Monte Carlo analysis has become nearly ubiquitous since its introduction, now over 65
years ago. It is an important tool in many assessments of the reliability and robustness of …

Efficient sampling strategies that scale with the size of the problem, computational budget,
and users' needs are essential for various sampling-based analyses, such as sensitivity and …

The growing power of computers enabled techniques created for design and analysis of
simulations to be applied to a large spectrum of problems and to reach high level of …

Many simulation practitioners can get more from their analyses by using the statistical theory
on design of experiments (DOE) developed specifically for exploring computer models. We …

This paper presents the translational propagation algorithm, a new method for obtaining
optimal or near optimal Latin hypercube designs (LHDs) without using formal optimization …

In this work we develop an agent-based model where hysteresis in major macroeconomic
variables (eg, gross domestic product, productivity, unemployment) emerges out of the …