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On l2 Error Bounds of the Elastic Net when p>>n
Lasso naive Elastic Net Elastic Net model selection consistency estimation consistency
2016/1/20
We study the estimation property of the Elastic Net in high-dimensional settings where the number of parameters p is comparable to or larger than the sample size n. In such a situation one often assum...
Regularization and variable selection via the elastic net
Grouping effect LARS algorithm Lasso Penalization p>n problem Variable selection
2015/8/21
We propose the elastic net, a new regularization and variable selection method. Real world data and a simulation study show that the elastic net often outperforms the lasso, while enjoying a similar s...
在利用红外光谱进行多组分混合气体定量分析建模中，须根据各目标气体成分的光谱特点进行光谱维数降维和特征变量选择。以甲烷、乙烷、丙烷、异丁烷、正丁烷、异戊烷和正戊烷等7种气体为分析目标，采用最小绝对收缩和选择算子（LASSO）与弹性网络（ElasticNet）方法进行目标气体数据预处理。针对LASSO 和ElasticNet方法参数优化选择的问题，采用均方误差和预测偏差最小两个准则进行参数的优化选取。...
In the literature surrounding Bayesian penalized regression, the two primary choices of
prior distribution on the regression coecients are zero-mean Gaussian and Laplace. While
both have been compa...