Advances in computation and the fast and cheap computational facilities now available to
statisticians have had a significant impact upon statistical research, and especially the …

The problem of dimension reduction is introduced as a way to overcome the curse of the
dimensionality when dealing with vector data in high-dimensional spaces and as a …

We introduce a parametric nonlinear transformation that is well-suited for Gaussianizing
data from natural images. The data are linearly transformed, and each component is then …

Clarifies modern data analysis through nonparametric density estimation for a complete
working knowledge of the theory and methods Featuring a thoroughly revised presentation …

The idea for this book came from the time the authors spent at the Statistics and Applied
Mathematical Sciences Institute (SAMSI) in Research Triangle Park in North Carolina …

Pattern recognition presents one of the most significant challenges for scientists and
engineers, and many different approaches have been proposed. The aim of this book is to …

Statistical pattern recognition is a very active area of study andresearch, which has seen
many advances in recent years. New andemerging applications-such as data mining, web …

The Wiley-Interscience Paperback Series consists of selected books that have been made
more accessible to consumers in an effort to increase global appeal and general circulation …

The existence of high speed, inexpensive computing has made it easy to look at data in
ways that were once impossible. Where once a data analyst was forced to make restrictive …

Not so long ago, multivariate analysis consisted solely of linear methods illustrated on small
to medium-sized data sets. Moreover, statistical computing meant primarily batch processing …