Encyclopedia of Computational Statistics

Written by over 200 world-renowned experts, the entries in this groundbreaking five-volume series represent the best content and data available to both practitioners and researchers in the field of modern statistical computing. This includes material drawn from computationally intensive statistical methods such as bootstrapping, data visualization, machine intelligence, density estimation, data mining, pattern recognition, clustering and classification, and computational Bayesian methods such as Markov chain Monte Carlo.