Mathematics – Statistics Theory
Scientific paper
2010-03-25
Mathematics
Statistics Theory
substantial revision
Scientific paper
We consider the problem of estimating filamentary structure from planar point process data. We make some connections with computational geometry and we develop nonparametric methods for estimating the filaments. We show that, under weak conditions, the filaments have a simple geometric representation as the medial axis of the data distribution's support. Our methods convert an estimator of the support's boundary into an estimator of the filaments. We also find the rates of convergence of our estimators.
Genovese Christopher R.
Perone-Pacifico Marco
Verdinelli Isabella
Wasserman Larry
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