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  Admissible minimax model selection rule
 
 
Title: Admissible minimax model selection rule
Author: Chen, Keh-Wei
Zheng, Z.
Appeared in: Communications in statistics
Paging: Volume 16 (1987) nr. 11 pages 3393-3401
Year: 1987
Contents: This paper considers the problem of choosing one between the simple model N(0, Id) and the full model N(0 Id) based on the observation X from N(θ Id) where X, θεRd, 0 is the null vector in Rd and Id is the d×d identity matrix. It is shown that the selection rule which chooses the full model if |x| > ao , for some a0 > 0 and the simple model otherwise is an admissible minimax model selection rule relative to a loss function which takes into account both inaccuracy and complexity.
Publisher: Taylor & Francis
Source file: Elektronische Wetenschappelijke Tijdschriften
 
 

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