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05/24/2019
Cross validation approaches for penalized Cox regression
Cross validation is commonly used for selecting tuning parameters in pen...
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09/14/2018
Feature-specific inference for penalized regression using local false discovery rates
Penalized regression methods, most notably the lasso, are a popular appr...
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04/27/2017
Efficient Feature Screening for Lasso-Type Problems via Hybrid Safe-Strong Rules
The lasso model has been widely used for model selection in data mining,...
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01/20/2017
The biglasso Package: A Memory- and Computation-Efficient Solver for Lasso Model Fitting with Big Data in R
Penalized regression models such as the lasso have been extensively appl...
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09/10/2012