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** Ebook Free Malliavin Calculus and Stochastic Analysis: 34 (Springer Proceedings in Mathematics & Statistics), by Frederi Viens, Jin Feng, Yaozhong Hu

Ebook Free Malliavin Calculus and Stochastic Analysis: 34 (Springer Proceedings in Mathematics & Statistics), by Frederi Viens, Jin Feng, Yaozhong Hu

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Malliavin Calculus and Stochastic Analysis: 34 (Springer Proceedings in Mathematics & Statistics), by Frederi Viens, Jin Feng, Yaozhong Hu

Malliavin Calculus and Stochastic Analysis: 34 (Springer Proceedings in Mathematics & Statistics), by Frederi Viens, Jin Feng, Yaozhong Hu



Malliavin Calculus and Stochastic Analysis: 34 (Springer Proceedings in Mathematics & Statistics), by Frederi Viens, Jin Feng, Yaozhong Hu

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Malliavin Calculus and Stochastic Analysis: 34 (Springer Proceedings in Mathematics & Statistics), by Frederi Viens, Jin Feng, Yaozhong Hu

The stochastic calculus of variations of Paul Malliavin (1925 - 2010), known today as the Malliavin Calculus, has found many applications, within and beyond the core mathematical discipline. Stochastic analysis provides a fruitful interpretation of this calculus, particularly as described by David Nualart and the scores of mathematicians he influences and with whom he collaborates. Many of these, including leading stochastic analysts and junior researchers, presented their cutting-edge research at an international conference in honor of David Nualart's career, on March 19-21, 2011, at the University of Kansas, USA. These scholars and other top-level mathematicians have kindly contributed research articles for this refereed volume.

  • Published on: 2013-02-15
  • Released on: 2013-02-15
  • Format: Kindle eBook

From the Back Cover

The stochastic calculus of variations of Paul Malliavin (1925 - 2010), known today as the Malliavin Calculus, has found many applications, within and beyond the core mathematical discipline. Stochastic analysis provides a fruitful interpretation of this calculus, particularly as described by David Nualart and the scores of mathematicians he influences and with whom he collaborates. Many of these, including leading stochastic analysts and junior researchers, presented their cutting-edge research at an international conference in honor of David Nualart's career, on March 19-21, 2011, at the University of Kansas, USA. These scholars and other top-level mathematicians have kindly contributed research articles for this refereed volume.

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