Smooth discrimination analysis

Discriminant analysis for two data sets in IRd with probability densities f and g can be based on the estimation of the set G = {x : f(x) Ï g(x)}. 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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Year of publication:	1998
Authors:	Mammen, Enno ; Tsybakov, Aleksandr B.
Publisher:	Berlin : Humboldt University of Berlin, Interdisciplinary Research Project 373: Quantification and Simulation of Economic Processes
Subject:	minimax rates \| discrimination analysis \| Bayes risk

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Series:	SFB 373 Discussion Paper ; 1998,4
Type of publication:	Book / Working Paper
Type of publication (narrower categories):	Working Paper
Language:	English
Other identifiers:	721082246 [GVK] hdl:10419/61246 [Handle] RePEc:zbw:sfb373:19984 [RePEc]
Source:	EconStor

Persistent link: https://www.econbiz.de/10010309858