Computational Statistics

This new edition continues to serve as a comprehensive guide tomodern and classical methods of statistical computing.  Thebook is comprised of four main parts spanning the field:

• Optimization
• Integration and Simulation
• Bootstrapping
• Density Estimation and Smoothing

Within these sections,each chapter includes a comprehensiveintroduction and step-by-step implementation summaries to accompanythe explanations of key methods.  The new edition includesupdated coverage and existing topics as well as new topics such asadaptive MCMC and bootstrapping for correlated data.  The bookwebsite now includes comprehensive R code for the entirebook.  There are extensive exercises, real examples, andhelpful insights about how to use the methods in practice.