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Stochastic Analysis in Discrete and Continuous Settings - With Normal Martingales (Paperback, 2009 ed.) Loot Price: R1,677
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Stochastic Analysis in Discrete and Continuous Settings - With Normal Martingales (Paperback, 2009 ed.): Nicolas Privault

Stochastic Analysis in Discrete and Continuous Settings - With Normal Martingales (Paperback, 2009 ed.)

Nicolas Privault

Series: Lecture Notes in Mathematics, 1982

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Loot Price R1,677 Discovery Miles 16 770 | Repayment Terms: R157 pm x 12*

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This monograph is an introduction to some aspects of stochastic analysis in the framework of normal martingales, in both discrete and continuous time. The text is mostly self-contained, except for Section 5.7 that requires some background in geometry, and should be accessible to graduate students and researchers having already received a basic training in probability. Prereq- sites are mostly limited to a knowledge of measure theory and probability, namely?-algebras,expectations,andconditionalexpectations.Ashortint- duction to stochastic calculus for continuous and jump processes is given in Chapter 2 using normal martingales, whose predictable quadratic variation is the Lebesgue measure. There already exists several books devoted to stochastic analysis for c- tinuous di?usion processes on Gaussian and Wiener spaces, cf. e.g. [51], [63], [65], [72], [83], [84], [92], [128], [134], [143], [146], [147]. The particular f- ture of this text is to simultaneously consider continuous processes and jump processes in the uni?ed framework of normal martingales.

General

Imprint: Springer-Verlag
Country of origin: Germany
Series: Lecture Notes in Mathematics, 1982
Release date: August 2009
First published: 2009
Authors: Nicolas Privault
Dimensions: 235 x 155 x 17mm (L x W x T)
Format: Paperback
Pages: 282
Edition: 2009 ed.
ISBN-13: 978-3-642-02379-8
Categories: Books > Science & Mathematics > Mathematics > Probability & statistics
Books > Science & Mathematics > Mathematics > Optimization > Game theory
Books > Science & Mathematics > Mathematics > Applied mathematics > Mathematical modelling
LSN: 3-642-02379-7
Barcode: 9783642023798

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