This book describes techniques used in computational statistics and considers some of the areas of application, such as density estimation and model building, in which computationally-intensive methods are useful.

Includes supplementary material: sn.pub/extras

Inhalt
Methods of Computational Statistics.- Preliminaries.- Monte Carlo Methods for Inference.- Randomization and Data Partitioning.- Bootstrap Methods.- Tools for Identification of Structure in Data.- Estimation of Functions.- Graphical Methods in Computational Statistics.- Data Density and Structure.- Estimation of Probability Density Functions Using Parametric Models.- Nonparametric Estimation of Probability Density Functions.- Structure in Data.- Statistical Models of Dependencies.