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Activity Number: 199
Type: Invited
Date/Time: Monday, August 3, 2009 : 2:00 PM to 3:50 PM
Sponsor: IMS
Abstract - #302820
Title: Nonparametric Estimation of Filaments
Author(s): Larry Wasserman*+
Companies: Carnegie Mellon University
Address: Department of Statistics, Pittsburg, PA, ,
Keywords: filaments ; astrostatistics ; density estimation

The matter in the universe forms a complex network of filaments and clusters. Estimating these filaments is a challenging problem. We discuss several nonparametric methods for estimating filaments. These include gradient-based methods and an extension of k-means clustering. This is joint work with Chris Genovese, Marco Perone Pacifico and Isabella Verdinelli.

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