This study deals with the calculations of mathematical expectations, primarily by simulation methods. The authors explore the present state of research and signal the types of problems raised by new methods. Topics discussed include Monte Carlo methods and the simulation of stochastic processes. Series: Wiley Series in Probability and Statistics. Num Pages: 384 pages, black & white illustrations. BIC Classification: PBT; PBWL. Category: (P) Professional & Vocational; (UP) Postgraduate, Research & Scholarly. Dimension: 239 x 167 x 28. Weight in Grams: 710. . 1993. 1st Edition. Hardcover. . . . .

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Bibliographic Details

Title: Numerical Methods for Stochastic Processes
Publisher: John Wiley and Sons Ltd
Publication Date: 1993
Language: English
ISBN 10: 0471546410
ISBN 13: 9780471546412
Binding: Hardcover
Edition: 1st Edition
Condition: New

About this title

Synopsis

Gives greater rigor to numerical treatments of stochastic models. Contains Monte Carlo and quasi-Monte Carlo techniques, simulation of major stochastic procedures, deterministic methods adapted to Markovian problems and special problems related to stochastic integral and differential equations. Simulation methods are given throughout the text as well as numerous exercises.

About the Author

Nicolas Bouleau is a mathematician, philosopher of science and essayist, professor at Ecole des Ponts Paris Tech. He was responsible for introducing computer simulation into the teaching of probability and was among the first to develop research in mathematical finance in France. Dominique L�pingle is the author of Numerical Methods for Stochastic Processes, published by Wiley.

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