Smooth discrimination analysis

نویسنده

  • Alexandre B. TSYBAKOV
چکیده

Discriminant analysis for two data sets in IR d with probability densities f and g can be based on the estimation of the set G = fx : f(x) g(x)g. We consider applications where it is appropriate to assume that the region G has a smooth boundary. In particular, this assumption makes sense if discriminant analysis is used as a data analytic tool. We discuss optimal rates for estimation of G.

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تاریخ انتشار 1998