Custom cover image
Custom cover image

Probability theory : an analytic view / Daniel W. Stroock

By: Resource type: Ressourcentyp: BuchBookLanguage: English Publisher: Cambridge ; New York ; Melbourne ; Madrid ; Cape Town ; Singapore ; Sao Paulo ; Dehli ; Mexico City : Cambridge University Press, [2011]Copyright date: © 2011Edition: Second editionDescription: XXI, 527 SeitenISBN:
  • 9780521761581
  • 9780521132503
Subject(s): Additional physical formats: Erscheint auch als: Probability theory. Online-Ausgabe 2nd ed (Online-Ausg.). Cambridge : Cambridge University Press, 2011. Online-Ressource (1 online resource (xxi, 527 p.)) | Erscheint auch als: Probability theory. Online-Ausgabe 2. ed. Cambridge : Cambridge University Press, 2011. XXIV, 527 S.MSC: MSC: *60-01 | 60F05 | 60E07 | 60G51 | 60G46 | 60G15 | 60G46 | 60G15RVK: RVK: SK 800LOC classification:
  • QA273
Summary: "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. The first part of the book deals with independent random variables, Central Limit phenomena, and the construction of Levy processes, including Brownian motion. Conditioning is developed and applied to discrete parameter martingales in Chapter 5, Chapter 6 contains the ergodic theorem and Burkholder's inequality, and continuous parameter martingales are discussed in Chapter 7. Chapter 8 is devoted to Gaussian measures on a Banach space, where they are treated from the abstract Wiener space perspective. The abstract theory of weak convergence is developed in Chapter 9, which ends with a proof of Donsker's Invariance Principle. The concluding two chapters contain applications of Brownian motion to the analysis of partial differential equations and potential theory"--PPN: PPN: 1608519295
Holdings
Item type Home library Shelving location Call number Status Date due Barcode Item holds
Freihandbestand ausleihbar Fachbibliothek Mathematik Bibliothek / frei aufgestellt Stoch. / Str Available 36524621090
Total holds: 0

Powered by Koha