Stochastic Processes - Theory, Examples & Exercises is an introductory textbook to a central and active field of Mathematics with applications in Engineering, Economics, and Management Science.

It starts with an overview of the field and a detailed account of the concept of stochastic process. Following this, the text delves into Poisson processes, renewal processes, and Markov chains in discrete and continuous time.

The author aims to explain the theory very clearly and show how it can be applied to solve concrete problems.

A critical and unique feature of this well-written book is the structure of its exercises. They are embedded in the main text and have spaces to fill. This feature helps the students to stop and reflect on what they have just read and encourages them to become active during the educational process.

This “workbook” is mathematically accurate yet avoids unnecessary mathematical sophistication, making it suitable for undergraduate and

graduate students in Mathematics, Computer Science, Engineering, and Management.