An Introduction to Stochastic Modeling: Edition 5
Jan 2026 · Academic Press
Ebook
600
Pages
family_home
Eligible
info
infoThis book will become available on January 2, 2026. You will not be charged until it is released.
About this ebook
An Introduction to Stochastic Modeling, Fifth Edition bridges the gap between basic probability and an intermediate level course in stochastic processes, serving as the foundation for either a one-semester or two-semester course in stochastic processes for students familiar with elementary probability theory and calculus. The objectives are to introduce students to the standard concepts and methods of stochastic modeling, to illustrate the rich diversity of applications of stochastic processes in the applied sciences, and to provide an integrated treatment of theory, applications and practical implementation. A well-regarded resource for many years, the text is an ideal foundation for a one-semester course in stochastic processes for students familiar with elementary probability theory and calculus. - Explores realistic applications from a variety of disciplines, including biological, chemical, and financial examples - Provides extensive end-of-chapter exercises sets with answers, as well as numerical illustrations and pseudo code/links to downloadable resources. - Presents new coverage on stochastic differential equations, Brownian motion, Martingale and Poisson processes - Includes computational examples, codes, and exercises that will empower students to explore concepts in a practical way • Offers online support, sample code and solutions to coding problems and access to code such as Python for students
About the author
Gabriel Lord is Professor of Applied Analysis at Radboud University Nijmegen in the Netherlands since 2019. Prior to this, he was a Professor at the Maxwell Institute in Edinburgh, UK which he joined after a couple of years in industry at the National Physical Laboratory, UK. His research is in applied and computational mathematics and in particular stochastic systems. He has co-authored Stochastic Methods in Neuroscience and An Introduction to Computational Stochastic PDEs.Cónall Kelly is Associate Professor of Financial Mathematics and Director of the MSc Financial and Computational Mathematics at University College Cork in Ireland. Prior to joining UCC in 2017, he was Head of the Department of Mathematics at the University of the West Indies at Mona, Kingston, Jamaica. His research is in the qualitative dynamics of stochastic difference and differential equations, the analysis of numerical methods for stochastic systems and applications in finance and biology.
Reading information
Smartphones and tablets
Install the Google Play Books app for Android and iPad/iPhone. It syncs automatically with your account and allows you to read online or offline wherever you are.
Laptops and computers
You can listen to audiobooks purchased on Google Play using your computer's web browser.
eReaders and other devices
To read on e-ink devices like Kobo eReaders, you'll need to download a file and transfer it to your device. Follow the detailed Help Center instructions to transfer the files to supported eReaders.
