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  • Search: subject:"Robust variable screening"
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Breakdown point 1 Maximum penalized trimmed likelihood estimator 1 Multiple linear regression 1 Outlier detection 1 Poisson regression 1 Robust variable screening 1
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Filzmoser, P. 1 Neykov, N. 1 Neytchev, P. 1
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Ultrahigh dimensional variable selection through the penalized maximum trimmed likelihood estimator
Neykov, N.; Filzmoser, P.; Neytchev, P. - In: Statistical Papers 55 (2014) 1, pp. 187-207
The penalized maximum likelihood estimator (PMLE) has been widely used for variable selection in high-dimensional data. Various penalty functions have been employed for this purpose, e.g., Lasso, weighted Lasso, or smoothly clipped absolute deviations. However, the PMLE can be very sensitive to...
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