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Showing 1 to 3 of 3 for “"Adaptive Elastic Net."”.
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Advancements in Degradation Modeling, Uncertainty Quantification and Spatial Variable Selection
… based on Laplace approximation. We impose the adaptive elastic net penalty to obtain sparse estimation of parameters and thus to achieve variable selection of important variables. The proposed methods are investigated in simulation studies. We also apply the proposed methods to Lyme disease …
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Contributions to the Interface between Experimental Design and Machine Learning
In data science, machine learning methods, such as deep learning and other AI algorithms, have been widely used in many applications. These machine learning methods often have complicated model structures with a large number of model parameters and a set of hyperparameters. Moreover, these machine …
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Essays in Financial Econometrics
… demonstrates improved performance over the adaptive elastic net GMM approach in MSE, bias and standard errors. It performs similarly to the AL methods, except in the most high-dimensional cases where AL performs better. However, AL is much more computationally costly than the sparse group …