Encyclopedia of Computational Statistics (print)

The Encyclopedia of Computational Statistics (EoCS) draws together material normally identified under the rubric of computational statistics. 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. The scope is not intended to be limited to those topics, rather these topics are representative. The print version of EoCS is a convenient point of entry for researchers and students, especially industry statisticians and the non-statistical research community.