Monte Carlo methods are among the most used and useful computational tools available today, providing efficient and practical algorithims to solve a wide range

This book covers the main tools used in statistical simulation from a programmer’s point of view, explaining the R implementation of each simulation technique

This book seeks to bridge the gap between statistics and computer science. It provides an overview of Monte Carlo methods, including Sequential Monte Carlo, Mar

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