Numerical Methods for Stochastic Processes

Numerical Methods for Stochastic Processes

Regular price
Checking stock...
Regular price
Checking stock...
Summary

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.

The feel-good place to buy books
  • Free US shipping over $15
  • Buying preloved emits 41% less CO2 than new
  • Millions of affordable books
  • Give your books a new home - sell them back to us!

Numerical Methods for Stochastic Processes by Dominique Lpingle

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.

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 Lépingle is the author of Numerical Methods for Stochastic Processes, published by Wiley.

SKU Unavailable
ISBN 13 9780471546412
ISBN 10 0471546410
Title Numerical Methods for Stochastic Processes
Author Dominique Lpingle
Series Wiley Series In Probability And Statistics
Condition Unavailable
Binding Type Hardback
Publisher John Wiley & Sons Inc
Year published 1994-02-07
Number of pages 384
Cover note Book picture is for illustrative purposes only, actual binding, cover or edition may vary.
Note Unavailable