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stat.ME2012★ 14 cited
Selection of tuning parameters in bridge regression models via Bayesian information criterion
Shuichi Kawano
We consider the bridge linear regression modeling, which can produce a sparse or non-sparse model. A crucial point in the model building process is the selection of adjusted parame…
stat.ME2012
Adaptive bridge regression modeling with model selection criteria
Shuichi Kawano
We consider the problem of constructing an adaptive bridge regression modeling, which is a penalized procedure by imposing different weights to different coefficients in the bridge…