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Stochastic analysis : Itô and Malliavin calculus in tandem / Hiroyuki Matsumoto, Aoyama Gakuin University, Japan, Setsuo Taniguchi, Kyushu University, Japan.

By: Contributor(s): Material type: TextTextLanguage: English Original language: jap Series: Cambridge studies in advanced mathematics ; 159.Publisher: New York : Cambridge University Press, 2017Description: 1 online resource (xii, 346 pages) : digital, PDF file(s)Content type:
  • text
Media type:
  • computer
Carrier type:
  • online resource
ISBN:
  • 9781316492888 (ebook)
Uniform titles:
  • Kakuritsu Kaiseki. English
Subject(s): Additional physical formats: Print version: : No titleDDC classification:
  • 519.2/2 23
LOC classification:
  • QA274.2 .M3813 2017
Online resources: Summary: Thanks to the driving forces of the Itô calculus and the Malliavin calculus, stochastic analysis has expanded into numerous fields including partial differential equations, physics, and mathematical finance. This book is a compact, graduate-level text that develops the two calculi in tandem, laying out a balanced toolbox for researchers and students in mathematics and mathematical finance. The book explores foundations and applications of the two calculi, including stochastic integrals and differential equations, and the distribution theory on Wiener space developed by the Japanese school of probability. Uniquely, the book then delves into the possibilities that arise by using the two flavors of calculus together. Taking a distinctive, path-space-oriented approach, this book crystallizes modern day stochastic analysis into a single volume.
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eBooks eBooks Central Library Statistics & Probability Available EB1039

Translated and adapted from the Japanese edition: Kakuritsu Kaiseki, 2013.

Title from publisher's bibliographic system (viewed on 02 Dec 2016).

Thanks to the driving forces of the Itô calculus and the Malliavin calculus, stochastic analysis has expanded into numerous fields including partial differential equations, physics, and mathematical finance. This book is a compact, graduate-level text that develops the two calculi in tandem, laying out a balanced toolbox for researchers and students in mathematics and mathematical finance. The book explores foundations and applications of the two calculi, including stochastic integrals and differential equations, and the distribution theory on Wiener space developed by the Japanese school of probability. Uniquely, the book then delves into the possibilities that arise by using the two flavors of calculus together. Taking a distinctive, path-space-oriented approach, this book crystallizes modern day stochastic analysis into a single volume.

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