Cart
Free Shipping in Australia
Proud to be B-Corp

Probability Theory Daniel W. Stroock (Massachusetts Institute of Technology)

Probability Theory By Daniel W. Stroock (Massachusetts Institute of Technology)

Probability Theory by Daniel W. Stroock (Massachusetts Institute of Technology)


$120.39
Condition - New
Only 2 left

Summary

This second edition of Daniel W. Stroock's classic probability theory textbook is suitable for first-year graduate students with a good grasp of introductory, undergraduate probability. It includes more than 750 exercises and revised material on the treatment of Levy processes and a detailed account of Gaussian measures on a Banach space.

Probability Theory Summary

Probability Theory: An Analytic View by Daniel W. Stroock (Massachusetts Institute of Technology)

This second edition of Daniel W. Stroock's text is suitable for first-year graduate students with a good grasp of introductory, undergraduate probability theory and a sound grounding in analysis. It is intended to provide readers with an introduction to probability theory and the analytic ideas and tools on which the modern theory relies. It includes more than 750 exercises. Much of the content has undergone significant revision. In particular, the treatment of Levy processes has been rewritten, and a detailed account of Gaussian measures on a Banach space is given.

Probability Theory Reviews

'... uniformly well written and well spiced with comments to aid the intuition, so the readership should include a wide range, both of students and of professional probabilists. ... We can expect it to take its place alongside the classics of probability theory.' Mathematical Reviews

About Daniel W. Stroock (Massachusetts Institute of Technology)

Dr Daniel W. Stroock is the Simons Professor of Mathematics Emeritus at the Massachusetts Institute of Technology. He has published numerous articles and is the author of six books, most recently Partial Differential Equations for Probabilists (2008).

Table of Contents

1. Sums of independent random variables; 2. The central limit theorem; 3. Infinitely divisible laws; 4. Levy processes; 5. Conditioning and martingales; 6. Some extensions and applications of martingale theory; 7. Continuous parameter martingales; 8. Gaussian measures on a Banach space; 9. Convergence of measures on a Polish space; 10. Wiener measure and partial differential equations; 11. Some classical potential theory.

Additional information

NLS9780521132503
9780521132503
0521132509
Probability Theory: An Analytic View by Daniel W. Stroock (Massachusetts Institute of Technology)
New
Paperback
Cambridge University Press
2010-12-31
548
N/A
Book picture is for illustrative purposes only, actual binding, cover or edition may vary.
This is a new book - be the first to read this copy. With untouched pages and a perfect binding, your brand new copy is ready to be opened for the first time

Customer Reviews - Probability Theory