This book is an introduction to stochastic analysis and quantitative finance; it includes both theoretical and computational methods. Topics covered are stochas

Stochastic Simulation and Applications in Finance with MATLAB Programs explains the fundamentals of Monte Carlo simulation techniques, their use in the numerica

In various scientific and industrial fields, stochastic simulations are taking on a new importance. This is due to the increasing power of computers and practit

Sampling-based computational methods have become a fundamental part of the numerical toolset of practitioners and researchers across an enormous number of diffe

The YUIMA package is the first comprehensive R framework based on S4 classes and methods which allows for the simulation of stochastic differential equations dr