Guest Editors' Introduction: Stochastic Modeling of Complex Systems

Abstract

This special issue of CiSE highlights various aspects of and outstanding problems in stochastic modeling of complex systems. The techniques covered include stochastic spectral methods, the information-theoretic approach, and sensitivity analysis for uncertainty quantification. Two application articles-one in the field of ecology and the other in the field of manufacturing design-emphasize the diversity of research disciplines in which the ability to handle uncertainty is crucial to obtaining reliable science-based predictions