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Stochastic Integration Theory Peter Medvegyev (Budapest University of Economic Sciences)

Stochastic Integration Theory By Peter Medvegyev (Budapest University of Economic Sciences)

Stochastic Integration Theory by Peter Medvegyev (Budapest University of Economic Sciences)


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Summary

This graduate level text covers the theory of stochastic integration, an important area of Mathematics with a wide range of applications, including financial mathematics and signal processing.

Stochastic Integration Theory Summary

Stochastic Integration Theory by Peter Medvegyev (Budapest University of Economic Sciences)

This graduate level text covers the theory of stochastic integration, an important area of Mathematics that has a wide range of applications, including financial mathematics and signal processing. Aimed at graduate students in Mathematics, Statistics, Probability, Mathematical Finance, and Economics, the book not only covers the theory of the stochastic integral in great depth but also presents the associated theory (martingales, Levy processes) and important examples (Brownian motion, Poisson process).

Table of Contents

1. Stochastic processes ; 2. Stochastic integration with locally square-integrable martingales ; 3. The structure of local martingales ; 4. General theory of stochastic integration ; 5. Some other theorems ; 6. Ito's formula ; 7. Processes with independent increments ; APPENDICES ; A. Results from measure theory ; B. Wiener processes ; C. Poisson processes

Additional information

NPB9780199215256
9780199215256
0199215251
Stochastic Integration Theory by Peter Medvegyev (Budapest University of Economic Sciences)
New
Hardback
Oxford University Press
2007-07-26
632
N/A
Book picture is for illustrative purposes only, actual binding, cover or edition may vary.
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