Gaussian Measures

Gaussian Measures book cover

Gaussian Measures

Author(s): Vladimir I. Bogachev (Author)

  • Publisher: American Mathematical Society
  • Publication Date: March 13, 2015
  • Language: English
  • Print length: 433 pages
  • ISBN-10: 147041869X
  • ISBN-13: 9781470418694

Book Description

This book gives a systematic exposition of the modern theory of Gaussian measures. It presents with complete and detailed proofs fundamental facts about finite and infinite dimensional Gaussian distributions. Covered topics include linear properties, convexity, linear and nonlinear transformations, and applications to Gaussian and diffusion processes. Suitable for use as a graduate text and/or a reference work, this volume contains many examples, exercises, and an extensive bibliography. It brings together many results that have not appeared previously in book form.

Editorial Reviews

Review

A deep and detailed treatment of an important subject. –American Mathematical Monthly

The scope of topics related to Gaussian processes and measures is huge. Complemented by a list of problems in each chapter, a collection of over 800 references and a detailed section of bibliographical comments, Bogachev’s book covers, in varying degrees of detail, an impressive portion of the theoretical part of this scope. It does so in a clear and precise mathematical style. –Mathematical Reviews

About the Author

Vladimir I. Bogachev , Moscow State University, Russia.

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Gaussian Measures

Gaussian Measures book cover

Gaussian Measures

Author(s): V. I. Bogachev (Author)

  • Publisher: Amer Mathematical Society
  • Publication Date: September 29, 1998
  • Language: English
  • Print length: 433 pages
  • ISBN-10: 0821810545
  • ISBN-13: 9780821810545

Book Description

This book gives a systematic exposition of the modern theory of Gaussian measures. It presents with complete and detailed proofs fundamental facts about finite and infinite dimensional Gaussian distributions. Covered topics include linear properties, convexity, linear and nonlinear transformations, and applications to Gaussian and diffusion processes. Suitable for use as a graduate text and/or a reference work, this volume contains many examples, exercises, and an extensive bibliography. It brings together many results that have not appeared previously in book form.

Editorial Reviews

Review

A deep and detailed treatment of an important subject. —American Mathematical Monthly

View on Amazon

未经允许不得转载:Wow! eBook » Gaussian Measures