Method of nonsmooth penalty functions and the theory of extremum problems in Banach space

Cybernetics ◽  
1980 ◽  
Vol 15 (5) ◽  
pp. 712-718 ◽  
Author(s):  
V. V. Beresnev

Biometrika ◽  
2020 ◽  
Vol 107 (2) ◽  
pp. 397-414 ◽  
Author(s):  
David E Tyler ◽  
Mengxi Yi

Summary The properties of penalized sample covariance matrices depend on the choice of the penalty function. In this paper, we introduce a class of nonsmooth penalty functions for the sample covariance matrix and demonstrate how their use results in a grouping of the estimated eigenvalues. We refer to the proposed method as lassoing eigenvalues, or the elasso.



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D. Numazarov


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Keyword(s):  


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Keyword(s):  


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