rdf-syntax-grammar
mods:
  schema location: http://www.loc.gov/mods/v3 http://www.loc.gov/standards/mods/v3/mods-3-2.xsd
  title info:
    title: Elements of Stochastic Calculus and Analysis
  name:
    name part: Stroock, Daniel W.
    role:
      role term: creator
    role:
      role term: author.
    role:
      role term: aut
    role:
      role term: http://id.loc.gov/vocabulary/relators/aut
  name:
    name part: SpringerLink (Online service)
  type of resource: text
  origin info:
    place:
      place term: gw
    date issued: 2018
    edition: 1st ed. 2018.
    issuance: monographic
  language:
    language term: eng
  physical description:
    form: electronic
    form: electronic resource
    reformatting quality: access
    form: remote
    extent: XIV, 206 p. online resource.
  abstract: This book gives a somewhat unconventional introduction to stochastic analysis. Although most of the material covered here has appeared in other places, this book attempts to explain the core ideas on which that material is based. As a consequence, the presentation is more an extended mathematical essay than a ``definition, lemma, theorem'' text. In addition, it includes several topics that are not usually treated elsewhere. For example, Wiener's theory of homogeneous chaos is discussed, Stratovich integration is given a novel development and applied to derive Wong and Zakai's approximation theorem, and examples are given of the application of Malliavin's calculus to partial differential equations. Each chapter concludes with several exercises, some of which are quite challenging. The book is intended for use by advanced graduate students and research mathematicians who may be familiar with many of the topics but want to broaden their understanding of them.
  table of contents: Preface -- 1. Kolmogorov's Equations -- 2. Itô's Approach -- 3. Brownian Stochastic Integration -- 4. Other Theories of Stochastic Integration -- 5. Addenda -- References -- Index. .
  note: by Daniel W. Stroock.
  subject:
    topic: Probabilities
  subject:
    topic: Probability Theory and Stochastic Processes
  classification: QA273.A1-274.9
  classification: QA274-274.9
  classification: 519.2
  related item:
    title info:
      title: Springer eBooks
  related item:
    title info:
      title: CRM Short Courses
  identifier: 9783319770383
  identifier: https://doi.org/10.1007/978-3-319-77038-3
  record info:
    record creation date: 180424
    record change date: 20191028072512.0
    record identifier: 978-3-319-77038-3