This textbook shall serve a double purpose: first of all, it is a book about generalized stochastic processes, a very important but highly neglected part of pro

World renowned leaders in the field provide an accessible introduction to the use of Generalized Stochastic Petri Nets (GSPNs) for the performance analysis of d

This book presents various results and techniques from the theory of stochastic processes that are useful in the study of stochastic problems in the natural sci

A detailed guide to sparsity, providing a description of their transform-domain statistics and applying the models to practical algorithms.

A one-year course in probability theory and the theory of random processes, taught at Princeton University to undergraduate and graduate students, forms the cor