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

Learn How to Program Stochastic ModelsHighly recommended, the best-selling first edition of Introduction to Scientific Programming and Simulation Using R was la

An accessible treatment of Monte Carlo methods, techniques, and applications in the field of finance and economics Providing readers with an in-depth and compre

Making decisions and predictions from noisy observations are two important and challenging problems in many areas of society. Some examples of applications are