Nonparametric Multivariate Analysis of SDSS Quasars by Convex Hull Peeling

Details Nonparametric Multivariate Analysis of SDSS Quasars by Convex Hull Peeling Nonparametric Multivariate Analysis of SDSS Quasars by Convex Hull Peeling

Nov 2007

adsabs.harvard.edu/cgi-bin/nph-data_query?bibcode=2007aspc..371..425l&link_type=abstract

Statistical Challenges in Modern Astronomy IV ASP Conference Series, Vol. 371, proceedings of the conference held 12-15 June 200

Astronomy and Astrophysics

Astronomy

Scientific paper

Without prior knowledge, traditional parametric statistics tends to break down, especially when data are massive and multidimensional. To overcome such difficulties, we introduce convex hull peeling algorithms as nonparametric exploratory data analysis tools, which provide descriptive measures of massive multivariate data. In this presentation, we apply these statistical tools to describe the multi-color distribution of Sloan Digital Sky Survey data (http://www.sdss.org/dr4).
This work is supported in part by the NSF Grant AST-0434234 (P.I.: G.J. Babu).

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