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NTIS 바로가기Journal of the Korean Data & Information Science Society = 한국데이터정보과학회지, v.26 no.2, 2015년, pp.505 - 516
Lee, Sangin (Department of Clinical Sciences, University of Texas Southwestern Medical Center)
We consider sparse high-dimensional linear regression models. Penalized regressions have been used as effective methods for variable selection and estimation in high-dimensional models. In penalized regressions, it is common practice to standardize variables before fitting a penalized model and then...
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