The Annals of Statistics

Projection Pursuit

Peter J. Huber

Full-text: Open access

Abstract

Projection pursuit is concerned with "interesting" projections of high dimensional data sets, with finding such projections by machine, and with using them for nonparametric fitting and other data-analytic purposes. This survey attempts to put the fascinating problems and ramifications of projection pursuit--which range from principal components, multidimensional scaling, factor analysis, nonparametric regression, density estimation and deconvolution of time series to computer tomography and problems in pure mathematics--into a coherent perspective

Article information

Source
Ann. Statist. Volume 13, Number 2 (1985), 435-475.

Dates
First available: 12 April 2007

Permanent link to this document
http://projecteuclid.org/euclid.aos/1176349519

JSTOR
links.jstor.org

Digital Object Identifier
doi:10.1214/aos/1176349519

Mathematical Reviews number (MathSciNet)
MR790553

Zentralblatt MATH identifier
0595.62059

Subjects
Primary: 62H99: None of the above, but in this section

Keywords
Projection pursuit multivariate data analysis principal components computer tomography robust multivariate methods minimum entropy

Citation

Huber, Peter J. Projection Pursuit. The Annals of Statistics 13 (1985), no. 2, 435--475. doi:10.1214/aos/1176349519. http://projecteuclid.org/euclid.aos/1176349519.


Export citation