Bayesian network is a popular modeling tool for uncertain domains that provides a compact representation of a joint probability distribution among a set of variables. Even though ...
Online spaces that enable public shared inter-personal communications are of significant social and economic importance. This paper outlines a theoretical model and methodology, la...
One feature of many naturally occurring or engineered complex systems is tremendous variability in event sizes. To account for it, the behavior of these systems is often described...
Walter Willinger, David Alderson, John C. Doyle, L...
Structural equation models have been widely used to study causal relationships between continuous variables. Recently, a non-Gaussian method called LiNGAM was proposed to discover ...
Abstract. In this paper we consider the relationship between refinement-oriented specification and specifications using a temporal logic. We investigate the extent to which one can...