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Introduction to Malliavin Calculus

$38.99 (P)

Part of Institute of Mathematical Statistics Textbooks

  • Date Published: September 2018
  • availability: In stock
  • format: Paperback
  • isbn: 9781107611986

$ 38.99 (P)
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About the Authors
  • This textbook offers a compact introductory course on Malliavin calculus, an active and powerful area of research. It covers recent applications, including density formulas, regularity of probability laws, central and non-central limit theorems for Gaussian functionals, convergence of densities and non-central limit theorems for the local time of Brownian motion. The book also includes a self-contained presentation of Brownian motion and stochastic calculus, as well as Lévy processes and stochastic calculus for jump processes. Accessible to non-experts, the book can be used by graduate students and researchers to develop their mastery of the core techniques necessary for further study.

    • Features an up-to-date treatment of the theory, including recent applications
    • Includes basic preliminary material, making the material accessible to non-experts
    • Presents a wide overview from different perspectives, providing strong preparation for further study
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    Reviews & endorsements

    Advance praise: 'This book is a delightful and self-contained introduction to stochastic and Malliavin calculus that will guide the graduate students in probability theory from the basics of the theory to the borders of contemporary research. It is a must read written by two globally recognized experts!' Fabrice Baudoin, University of Connecticut

    Advance praise: 'Malliavin calculus has seen a great revival of interest in recent years, after the discovery about ten years ago that Stein's method for probabilistic approximation and Malliavin calculus fit together admirably well. Such an interaction has led to some remarkable limit theorems for Gaussian, Poisson and Rademacher functionals. This monograph, written by two internationally renowned specialists of the field, provides a concise, self-contained and very pleasant exposition of different aspects of this rich and recent line of research. For sure, it is destined to quickly become a must-have reference book!' Ivan Nourdin, University of Luxembourg

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    Product details

    • Date Published: September 2018
    • format: Paperback
    • isbn: 9781107611986
    • dimensions: 228 x 163 x 14 mm
    • weight: 0.34kg
    • availability: In stock
  • Table of Contents

    Preface
    1. Brownian motion
    2. Stochastic calculus
    3. Derivative and divergence operators
    4. Wiener chaos
    5. Ornstein-Uhlenbeck semigroup
    6. Stochastic integral representations
    7. Study of densities
    8. Normal approximations
    9. Jump processes
    10. Malliavin calculus for jump processes I
    11. Malliavin calculus for jump processes II
    Appendix A. Basics of stochastic processes
    References
    Index.

  • Authors

    David Nualart, University of Kansas
    David Nualart is the Black-Babcock Distinguished Professor in the Department of Mathematics at the University of Kansas. He has published around 300 scientific articles in the field of probability and stochastic processes, and he is the author of the fundamental monograph The Malliavin Calculus and Related Topics (2005). He has served on the editorial board of leading journals in probability, and from 2006 to 2008 was the editor-in-chief of Electronic Communications in Probability. He was elected Fellow of the Institute of Mathematical Statistics in 1997 and he received the Higuchi Award on Basic Sciences in 2015.

    Eulalia Nualart, Universitat Pompeu Fabra, Barcelona
    Eulàlia Nualart is Associate Professor at Universitat Pompeu Fabra, Barcelona and a Barcelona Graduate School of Economics (GSE) Affiliated Professor. She is also the Deputy Director of the Barcelona GSE Master Program in Economics. Her research interests include stochastic analysis, Malliavin calculus, fractional Brownian motion, and Lévy processes. She has publications in top journals such as Stochastic Processes and their Applications, Annals of Probability, and the Journal of Functional Analysis. In 2013 she was awarded a Marie Curie Career Integration Grant.

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