The chapters in this volume stress the need for advances in theoretical understanding to go hand-in-hand with the widespread practical application of forecastin

The chapters in this volume stress the need for advances in theoretical understanding to go hand-in-hand with the widespread practical application of forecastin

An Introduction to Stochastic Modeling provides information pertinent to the standard concepts and methods of stochastic modeling. This book presents the rich d

This book enables readers to understand, model, and predict complex dynamical systems using new methods with stochastic tools. The author presents a unique comb

Ever-greater computing technologies have given rise to an exponentially growing volume of data. Today massive data sets (with potentially thousands of variables