£21.22
  • RRP: £24.95
  • You Save: £3.73 (15%)
FREE Delivery in the UK.
In stock.
Dispatched from and sold by Amazon. Gift-wrap available.
Basic Stochastic Processe... has been added to your Basket

Dispatch to:
To see addresses, please
Or
Please enter a valid UK postcode.
Or
Have one to sell?
Flip to back Flip to front
Listen Playing... Paused   You're listening to a sample of the Audible audio edition.
Learn more
See all 3 images

Basic Stochastic Processes: A Course Through Exercises (Springer Undergraduate Mathematics Series) Paperback – 26 Jul 2000

4.5 out of 5 stars 6 customer reviews

See all 2 formats and editions Hide other formats and editions
Amazon Price
New from Used from
Kindle Edition
"Please retry"
Paperback
"Please retry"
£21.22
£17.26 £15.00
Promotion Message Amazon Students Members Get 10% Off 1 Promotion(s)

Note: This item is eligible for click and collect. Details
Pick up your parcel at a time and place that suits you.
  • Choose from over 13,000 locations across the UK
  • Prime members get unlimited deliveries at no additional cost
How to order to an Amazon Pickup Location?
  1. Find your preferred location and add it to your address book
  2. Dispatch to this address when you check out
Learn more
£21.22 FREE Delivery in the UK. In stock. Dispatched from and sold by Amazon. Gift-wrap available.
click to open popover

Special offers and product promotions

  • Amazon Students Members Get an Extra 10% Off Selected Books Here's how (terms and conditions apply)

Frequently bought together

  • Basic Stochastic Processes: A Course Through Exercises (Springer Undergraduate Mathematics Series)
  • +
  • Measure, Integral and Probability (Springer Undergraduate Mathematics Series)
  • +
  • Mathematics for Finance: An Introduction to Financial Engineering (Springer Undergraduate Mathematics Series)
Total price: £59.16
Buy the selected items together

Enter your mobile number or email address below and we'll send you a link to download the free Kindle App. Then you can start reading Kindle books on your smartphone, tablet, or computer - no Kindle device required.

  • Apple
  • Android
  • Windows Phone

To get the free app, enter your mobile phone number.



Product details

  • Paperback: 236 pages
  • Publisher: Springer; 1st ed. 1999. Corr. 3rd printing 2000 edition (26 July 2000)
  • Language: English
  • ISBN-10: 3540761756
  • ISBN-13: 978-3540761754
  • Product Dimensions: 17.8 x 1.4 x 23.5 cm
  • Average Customer Review: 4.5 out of 5 stars  See all reviews (6 customer reviews)
  • Amazon Bestsellers Rank: 77,195 in Books (See Top 100 in Books)
  • If you are a seller for this product, would you like to suggest updates through seller support?

  • See Complete Table of Contents

Product description

Review

This book fulfils its aim of providing good and interesting material for advanced undergraduate study.

The Times Higher Education Supplement

This is probably one of the best books to begin learning about the sometimes complex topic of stochastic calculus and stochastic processes from a more mathematical approach. Some literature are often accused of unnecessarily complicating the subject when applied to areas of finance. With this book you are allowed to explore the rigorous side of stochastic calculus, yet maintain a physical insight of what is going on. The authors have concentrated on the most important and useful topics that are encountered in common physical and financial systems

www.quantnotes.com

 


What other items do customers buy after viewing this item?

Customer Reviews

4.5 out of 5 stars
Share your thoughts with other customers

Top Customer Reviews

Format: Paperback
I have extensively used this book for a course on stochastic analysis...The exercises and examples really helped to fully understand the theory. I suggest to read it in conjunction with D. Williams book or Jacod-Protter. The book assumes, anyway, some prerequistes on applied probability, even if the first two chapters are devoted to fix some of these concepts in view of the later chapters.
Comment 8 people found this helpful. Was this review helpful to you? Yes No Sending feedback...
Thank you for your feedback.
Sorry, we failed to record your vote. Please try again
Report abuse
Format: Paperback
Well motivated; well explained; easy to understand! A great read; and still offering readers getting a deeper understanding! There are a number of reasons for this book: An understandable presentation of tools from probability and stochastic processes is especially timely.
With clear explanations, and with lots of examples and illustrations!
A useful first book, before turning to more specialized presentations!
While the subject has a long history and a multitude of applications, there is more recent buzz: It has been suggested that the recent turmoil in financial markets may be caused in part by poor understanding on the part of traders of the mathematical models for derivative trading.
The mathematical tools are widely used, but probably a lot less widely understood!

A bit of history: Stochastic processes is a theory started more than a hundred years ago (1900, Louis Bachlier, a Paris-PhD thesis under Poincare), then Albert Einstein's 1905 discovery of Brownian motion, Norbert Wiener's path-space integral (the 1920ties), K. Ito's integral & formula (the 1940ties) and Paul Samuelson-Merton-Black-Scholes 1974, a stochastic differential equation for option pricing: All mathematical tools devised for the purpose of predicting uncertain outcomes in the world around us: in financial engineering; in physics (quantum mechanics, diffusion & thermodynamics); in biology, and in other parts of our experience.
Review by Palle Jorgensen, March 2010.
1 Comment One person found this helpful. Was this review helpful to you? Yes No Sending feedback...
Thank you for your feedback.
Sorry, we failed to record your vote. Please try again
Report abuse
Format: Paperback
This book is a boon for the non-mathematician financial quant, providing the reader knows some concepts of measure-theoretic probability. The idea of conditional expectation, which is the backbone of the theory of stochastic processes, is developed in considerable detail, which provides an excellent preparation for the study of martingales, Markov chains and Brownian motion in the subsequent chapters. There are numerous exercises scattered all over the chapters with full solutions at chapter ends. Although it does not provide the level of detail that one would get in a book like Oksendal, it certainly reduces the cost of entry into the difficult world of stochastic analysis for the non-mathematician. The only prerequisite is some knowledge of measure-theoretic ideas like Borel sets and Lebesgue measure.
Comment 5 people found this helpful. Was this review helpful to you? Yes No Sending feedback...
Thank you for your feedback.
Sorry, we failed to record your vote. Please try again
Report abuse