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Stochastic Analysis And Related Topics In Honour Of Ali Sleyman Stnel Paris June 2010 1st Edition Boubacar Bah

  • SKU: BELL-2630478
Stochastic Analysis And Related Topics In Honour Of Ali Sleyman Stnel Paris June 2010 1st Edition Boubacar Bah
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Stochastic Analysis And Related Topics In Honour Of Ali Sleyman Stnel Paris June 2010 1st Edition Boubacar Bah instant download after payment.

Publisher: Springer-Verlag Berlin Heidelberg
File Extension: PDF
File size: 1.35 MB
Pages: 216
Author: Boubacar Bah, Ahmadou Bamba Sow, Etienne Pardoux (auth.), Laurent Decreusefond, Jamal Najim (eds.)
ISBN: 9783642299810, 9783642299827, 3642299814, 3642299822
Language: English
Year: 2012
Edition: 1

Product desciption

Stochastic Analysis And Related Topics In Honour Of Ali Sleyman Stnel Paris June 2010 1st Edition Boubacar Bah by Boubacar Bah, Ahmadou Bamba Sow, Etienne Pardoux (auth.), Laurent Decreusefond, Jamal Najim (eds.) 9783642299810, 9783642299827, 3642299814, 3642299822 instant download after payment.

Since the early eighties, Ali Süleyman Üstünel has been one of the main contributors to the field of Malliavin calculus. In a workshop held in Paris, June 2010 several prominent researchers gave exciting talks in honor of his 60th birthday. The present volume includes scientific contributions from this workshop.
Probability theory is first and foremost aimed at solving real-life problems containing randomness. Markov processes are one of the key tools for modeling that plays a vital part concerning such problems. Contributions on inventory control, mutation-selection in genetics and public-private partnerships illustrate several applications in this volume. Stochastic differential equations, be they partial or ordinary, also play a key role in stochastic modeling. Two of the contributions analyze examples that share a focus on probabilistic tools, namely stochastic analysis and stochastic calculus. Three other papers are devoted more to the theoretical development of these aspects. The volume addresses graduate students and researchers interested in stochastic analysis and its applications.

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