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To meet these challenges, nonconvex penalized generalized linear models with grouped predictors are investigated and a simple-to-implement algorithm is proposed for computation.
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Performance of model selection with grouped variables via group Lasso and related approaches has been analyzed in [10, 20, 27], while asymptotic analysis has been pursued in [28, 29].
Recently, a convex model selector with grouped variables was put forth by [10], and successfully applied to biostatistics and compressive sampling [20].
We used the Bayesian skyline plot (BSP) population growth model with 10 grouped intervals as implemented in BEAST v1.5.3 [56].
Then the QOL indicators were added individually to the model, first with continuous and second with grouped scores (cut-off points: 33 and 67% quantile of total sample, intermediate group as reference).
Application of this model to a bladed-disk system with grouped blades shows that the results qualitatively conform to accepted knowledge of grouped-blade dynamics, while allowing a more coherent understanding of the phenomenon.
Lung cancer death risks during the follow-up were analysed in relation to the estimated time-dependent exposures, both continuous and grouped, using Cox regression models, with adjustment for age.
With the exception of model-based grouped age, there was more variation in the Pohar-Perme estimate at 5, and particularly 10 and 15 years, reflected in the larger MSEs.
(Above, models with Sassoon haircuts).
He built elaborate models with Lego bricks.
Later models with J.-P.
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