Variable selection in high-dimensional settings addresses the challenge of identifying relevant predictors when the number of features greatly exceeds the number of observations. The knockoff ...
High-dimensional statistical modelling addresses situations in which the number of variables (p) rivals or exceeds the number of observations (n). In these settings, classical estimation techniques ...
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