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June, 1985 Projection Pursuit
Peter J. Huber
Ann. Statist. 13(2): 435-475 (June, 1985). DOI: 10.1214/aos/1176349519

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

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Peter J. Huber. "Projection Pursuit." Ann. Statist. 13 (2) 435 - 475, June, 1985. https://doi.org/10.1214/aos/1176349519

Information

Published: June, 1985
First available in Project Euclid: 12 April 2007

zbMATH: 0595.62059
MathSciNet: MR790553
Digital Object Identifier: 10.1214/aos/1176349519

Subjects:
Primary: 62H99

Keywords: Computer tomography , minimum entropy , multivariate data analysis , principal components , Projection pursuit , robust multivariate methods

Rights: Copyright © 1985 Institute of Mathematical Statistics

Vol.13 • No. 2 • June, 1985
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