Numerical methods for stochastic processes
Author(s)
Bibliographic Information
Numerical methods for stochastic processes
(Wiley series in probability and mathematical statistics, . Applied probability and statistics)
Wiley, c1994
Available at / 58 libraries
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Hokkaido University, Library, Graduate School of Science, Faculty of Science and School of Science図書
dc20:519.2/b6642070296134
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Note
"A Wiley-Interscience publication"
Includes bibliographical references (p. 337-351) and index
Description and Table of Contents
Description
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.
Table of Contents
Preliminaries.
Computation of Expectations in Finite Dimension.
Simulation of Random Processes.
Deterministic Resolution of Some Markovian Problems.
Stochastic Differential Equations and Brownian Functionals.
Notes.
References.
Index.
by "Nielsen BookData"