Regression models with interaction effects have been widely used in multivariate analysis to improve model flexibility and prediction accuracy. In functional data analysis, however, due to the ...
The increased availability of high-dimensional data, and appeal of a "sparse" solution has made penalized likelihood methods commonplace. Arguably the most widely utilized of these methods is ℓ₁ ...
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