Best Reference Books – Stochastic Process and Simulation

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We have compiled the list of Top 10 Best Reference Books on Stochastic Process and Simulation subject. These books are used by students of top universities, institutes and colleges. Here is the full list of top 10 best books on Stochastic Process and Simulation along with reviews.

Kindly note that we have put a lot of effort into researching the best books on Stochastic Process and Simulation subject and came out with a recommended list of top 10 best books. The table below contains the Name of these best books, their authors, publishers and an unbiased review of books on "Stochastic Process and Simulation" as well as links to the Amazon website to directly purchase these books. As an Amazon Associate, we earn from qualifying purchases, but this does not impact our reviews, comparisons, and listing of these top books; the table serves as a ready reckoner list of these best books.

1. “An Introduction to Continuous-Time Stochastic Processes (Modeling and Simulation in Science, Engineering and Technology)” by Vincenzo Capasso and David Bakstein

“An Introduction to Continuous-Time Stochastic Processes (Modeling and Simulation in Science, Engineering and Technology)” Book Review: The book is designed for mathematicians, researchers, practitioners and students of mathematical finance, biomathematics, biotechnology and engineering. The book describes continuous-time stochastic processes, stochastic integrals and stochastic differential equations. It explains Markov processes, population dynamics and epidemics, and agent based models. The book contains information about levy processes, fractionation brownian motion, ergodic theory and karhunen-loeve expansion. It discusses Smoluchowski approximation of langevin systems.

2. “Simulation of Stochastic Processes with Given Accuracy and Reliability” by Antonina M Tegza and Iryna V Rozora

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“Simulation of Stochastic Processes with Given Accuracy and Reliability” Book Review: The book is beneficial for mathematicians and practitioners. It discusses sub-gaussian and square gaussian random variables. It helps in measuring accuracy and reliability in functional spaces. The book provides methods of simulation of stochastic processes.

3. “The Little Book of Probability: Essentials of Probability for Stochastic Processes and Simulation” by Michael R Taaffe and Bruce W Schmeiser

“The Little Book of Probability: Essentials of Probability for Stochastic Processes and Simulation” Book Review: This book gives information about non-measure-theoretic probability. The book provides details of various concepts related to probability. The book is valuable for anyone interested in knowing about elementary mathematics of probability.

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4. “Elements of Stochastic Process Simulation” by Byron S Gottfried
5. “Introduction to Stochastic Processes with R” by Robert P Dobrow

“Introduction to Stochastic Processes with R” Book Review: The book is beneficial for mathematicians, statisticians and students of science, technology, engineering and mathematics. The book provides applications of probability theory in natural and social sciences. It explains markov chains Monte Carlo, random walk on graphs, card shufflings and black-scholes options pricing. It also discusses cryptography, martingales and stochastic calculus. The book provides various examples and exercise questions at the end of each chapter.

6. “Stochastic Processes in Polymeric Fluids: Tools and Examples for Developing Simulation Algorithms” by Öttinger and Hans C

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“Stochastic Processes in Polymeric Fluids: Tools and Examples for Developing Simulation Algorithms” Book Review: The book can be referred by anyone involved in the field of engineering and natural sciences. It gives a mathematical approach to stochastic processes. The book contains applications of stochastic processes to molecular theories of polymeric fluids. The book provides a clear understanding of polymer dynamics. It also contains various examples for better understanding of the topic.

7. “Simulation and Chaotic Behavior of Alpha-stable Stochastic Processes: 178” by Aleksand Janicki and A Weron

“Simulation and Chaotic Behavior of Alpha-stable Stochastic Processes: 178” Book Review: The book is an understandable book. It provides many examples for understanding various types of behaviour. It gives computer methods in approximation, simulation and visualization for alpha-stable stochastic processes.

8. “Introduction to Rare Event Simulation (Springer Series in Statistics)” by James Bucklew

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“Introduction to Rare Event Simulation (Springer Series in Statistics)” Book Review: The book contains information about rare event simulation. It provides a number of diagrams for easily understanding the subject. It gives the applications of rare event simulation in statistics, telecommunication and queuing systems. The book discusses the methodology and principles of large deviation theory.

9. “Stochastic Processes: Modeling and Simulation (Handbook of Statistics)” by D N Shanbhag

“Stochastic Processes: Modeling and Simulation (Handbook of Statistics)” Book Review: The book is helpful for students, teachers, researchers and practitioners. The book provides the latest developments in stochastic processes. It contains information about random graphs, reliability, epidemic modelling, self-similar processes and empirical processes. It describes time-series models, extreme value therapy, applications of Markov chains and modelling with Monte Carlo techniques. The book gives application of stochastic processes in engineering, telecommunication, biology, astronomy and chemistry.

10. “Affine Diffusions and Related Processes: Simulation, Theory and Applications (Bocconi & Springer Series)” by Aurélien Alfonsi

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“Affine Diffusions and Related Processes: Simulation, Theory and Applications (Bocconi & Springer Series)” Book Review: The book is useful for students and researchers who are involved in the field of mathematical finance. It discusses affine diffusions in Ornstein-Uhlenbeck processes, Wishart processes and Wright-Fisher processes. The book also explains simulation of these processes.

People who are searching for Free downloads of books and free pdf copies of these top 10 books on Stochastic Process and Simulation – we would like to mention that we don’t have free downloadable pdf copies of these good books and one should look for free pdf copies from these Authors only if they have explicitly made it free to download and read them.

We have created a collection of best reference books on "Stochastic Process and Simulation" so that one can readily see the list of top books on "Stochastic Process and Simulation" and buy the books either online or offline.

If any more book needs to be added to the list of best books on Stochastic Process and Simulation subject, please let us know.

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Manish Bhojasia - Founder & CTO at Sanfoundry
Manish Bhojasia, a technology veteran with 20+ years @ Cisco & Wipro, is Founder and CTO at Sanfoundry. He is Linux Kernel Developer & SAN Architect and is passionate about competency developments in these areas. He lives in Bangalore and delivers focused training sessions to IT professionals in Linux Kernel, Linux Debugging, Linux Device Drivers, Linux Networking, Linux Storage, Advanced C Programming, SAN Storage Technologies, SCSI Internals & Storage Protocols such as iSCSI & Fiber Channel. Stay connected with him @ LinkedIn | Youtube | Instagram | Facebook | Twitter