Stochastic Analysis and Applications 2014.

Crisan, Dan; Hambly, Ben; Zariphopoulou, Thaleia (Eds.)

ISBN 10: 3319112910 / ISBN 13: 9783319112916

Published by Cham, Springer., 2014

About this Item

235 mm x 155 mm. XXVI, 503 p. Hardcover. Versand aus Deutschland / We dispatch from Germany via Air Mail. Einband bestoßen, daher Mängelexemplar gestempelt, sonst sehr guter Zustand. Imperfect copy due to slightly bumped cover, apart from this in very good condition. Stamped. Springer Proceedings in Mathematics & Statistics ; 100. Sprache: Englisch.

Seller Inventory # 355MB

Bibliographic Details

• Title: Stochastic Analysis and Applications 2014.
• Publisher: Cham, Springer.
• Publication Date: 2014
• Language: English
• ISBN 10: 3319112910
• ISBN 13: 9783319112916
• Binding: Hardcover
• Seller catalogs:
  • Mathematik

About this title

Synopsis

Articles from many of the main contributors to recent progress in stochastic analysis are included in this volume, which provides a snapshot of the current state of the area and its ongoing developments. It constitutes the proceedings of the conference on "Stochastic Analysis and Applications" held at the University of Oxford and the Oxford-Man Institute during 23-27 September, 2013. The conference honored the 60th birthday of Professor Terry Lyons FLSW FRSE FRS, Wallis Professor of Mathematics, University of Oxford. Terry Lyons is one of the leaders in the field of stochastic analysis. His introduction of the notion of rough paths has revolutionized the field, both in theory and in practice. 

Stochastic Analysis is the branch of mathematics that deals with the analysis of dynamical systems affected by noise. It emerged as a core area of mathematics in the late 20th century and has subsequently developed into an important theory with a wide range of powerful and novel tools, and with impressive applications within and beyond mathematics. Many systems are profoundly affected by stochastic fluctuations and it is not surprising that the array of applications of Stochastic Analysis is vast and touches on many aspects of life.  

The present volume is intended for researchers and Ph.D. students in stochastic analysis and its applications, stochastic optimization and financial mathematics, as well as financial engineers and quantitative analysts.