Probability Theory, an Analytic View - Brossura

Stroock, Daniel W.

Brossura

ISBN 10: 0521663490 ISBN 13: 9780521663496

Casa editrice: Cambridge University Press, 2008

Riassunto

This revised edition is suitable for a first-year graduate course on probability theory. It is intended for students with a good grasp of introductory, undergraduate probability and is a reasonably sophisticated introduction to modern analysis for those who want to learn what these two topics have to say about each other. The first part of the book deals with independent random variables, Central Limit phenomena, the general theory of weak convergence and several of its applications, as well as elements of both the Gaussian and Markovian theory of measures on function space. The introduction of conditional expectation values is postponed until the second part of the book where it is applied to the study of martingales. This section also explores the connection between martingales and various aspects of classical analysis and the connections between Wiener's measure and classical potential theory.

Su questo libro

Recensione:

'... 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.' F. B. Knight, Mathematical Reviews

'... a first class work of reference, for technique as well as for results and definitive theory ...' Peter Whittle, The Mathematical Intelligencer

'The various topics are nicely interwoven in what is obviously a well-thought-out exposition. The author's style makes key ideas easy to grasp.' Michael Cranston, Journal of the American Ststistical Association

'As the above list of topics shows, this book is much more than an introduction to probability ... the wealth of material presented and the strong emphasis on the intimate links between probability and analysis make this book worth having.' M. Schewizer, Zentralblatt für Mathematik

Descrizione del libro:

This revised edition is suitable for a first-year graduate course on probability theory. For students with a good grasp of undergraduate probability, it is also a reasonably sophisticated introduction to modern analysis and how these two topics interact. It is a valuable reference for those in physics, engineering, and economics.

Su questa edizione

• Editore: Cambridge University Press
• Data di pubblicazione: 2008
• ISBN 10: 0521663490
• ISBN 13: 9780521663496
• Rilegatura: Copertina flessibile
• Numero di pagine: 556