Handbook of Probabilistic Models carefully examines the application of advanced probabilistic models in conventional engineering fields. In this comprehensive h

In this text, experts provide a complete sourcebook on methods for addressing variability and uncertainty in exposure analysis.

A graphical model is a statistical model that is represented by a graph. The factorization properties underlying graphical models facilitate tractable computati

"This is a valuable reference guide for readers interested in gaining a basic understanding of probability theory or its applications in problem solving in the

Certainty exists only in idealized models. Viewed as the quantification of uncertainties, probabilitry and random processes play a significant role in modern en