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Classification error of the thresholded independence rule

Publikation: Working paperForskning


We consider classification in the situation of two groups with normally distributed data in the ‘large p small n’ framework. To counterbalance the high number of variables we consider the thresholded independence rule. An upper bound on the classification error is established which is taylored to a mean value of interest in biological applications.
UdgiverT.N. Thiele Centre, Department of Mathematics, Aarhus University
Antal sider10
StatusUdgivet - 2012
SerietitelThiele Research Reports

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