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

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

We have sold 4300 copies worldwide of the first edition (1999). This new edition contains five completely new chapters covering new developments.

Bridging the gap between research and application, Markov Chain Monte Carlo: Stochastic Simulation for Bayesian Inference provides a concise, and integrated acc