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  • Search: subject:"non-concave penalized likelihood"
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deviance 1 generalized linear model 1 high-dimensional data set 1 model selection 1 non-concave penalized likelihood 1 trauma 1
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Karagrigoriou, A. 1 Koukouvinos, C. 1 Mylona, K. 1
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Journal of Applied Statistics 1
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On the advantages of the non-concave penalized likelihood model selection method with minimum prediction errors in large-scale medical studies
Karagrigoriou, A.; Koukouvinos, C.; Mylona, K. - In: Journal of Applied Statistics 37 (2010) 1, pp. 13-24
discussed. The performed analysis reveals the distinct advantages of the non-concave penalized likelihood methods over the … assess the fit of the overall selected model. The statistical methods employed in this work were the non-concave penalized … likelihood methods, smoothly clipped absolute deviation, least absolute shrinkage and selection operator, and Hard, the …
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