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Abstract: There are a variety of settings where vague prior information may be available on the importance of predictors in high-dimensional regression settings. Examples include the ordering on the variables offered by their...

article high-dimensional data Low variance filter LASSO Ridge regression missing data Corrupted data

There are a variety of settings where vague prior information may be available on the importance of predictors in high-dimensional regression settings. Examples include ordering on the variables offered by their...

high-dimensional data Low variance filter LASSO Ridge regression missing data Corrupted data