The purpose of this book is twofold: first, it sets out to equip the reader with a sound understanding of the foundations of probability theory and stochastic p

Integrates traditional statistical data analysis with new computational experimentation capabilities and concepts of algorithmic complexity and chaotic behavior

This book highlights mathematical research interests that appear in real life, such as the study and modeling of random and deterministic phenomena. As such, it

A key pedagogical feature of the textbook is the accessible approach to probability concepts through examples with explanations and problems with solutions. The

Simple random walks - or equivalently, sums of independent random vari ables - have long been a standard topic of probability theory and mathemat ical physics.