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 monograph surveys the present state of Monte Carlo methods. we have dallied with certain topics that have interested us Although personally, we hope that o

Apart from a thorough exploration of all the important concepts, this volume includes over 75 algorithms, ready for putting into practice. The book also contain

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