Sparse probit linear mixed model

Mandt, S; Wenzel, F; Nakajima, S; Cunningham, J; Lippert, C; Kloft, M

Mandt, S (reprint author), Columbia Univ, Data Sci Inst, New York, NY 10027 USA.; Wenzel, F (reprint author), Humboldt Univ, CS Dept, Berlin, Germany.

MACHINE LEARNING, 2017; 106 (9-10): 1621

Abstract

Linear mixed models (LMMs) are important tools in statistical genetics. When used for feature selection, they allow to find a sparse set of genetic tr......

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