Mathematical tools are developed for describing low-dimensional projections of high-dimensional data. Theorems are given to show that under suitable conditions, most projections are approximately Gaussian.
Publié le : 1984-09-14
Classification:
62-07,
Projections,
projection pursuit,
random probabilities,
empirical characteristic function,
graphical methods,
60F99
@article{1176346703,
author = {Diaconis, Persi and Freedman, David},
title = {Asymptotics of Graphical Projection Pursuit},
journal = {Ann. Statist.},
volume = {12},
number = {1},
year = {1984},
pages = { 793-815},
language = {en},
url = {http://dml.mathdoc.fr/item/1176346703}
}
Diaconis, Persi; Freedman, David. Asymptotics of Graphical Projection Pursuit. Ann. Statist., Tome 12 (1984) no. 1, pp. 793-815. http://gdmltest.u-ga.fr/item/1176346703/