Variable selection is a pivotal step in statistical modelling and machine learning, aiming to identify the most informative predictors from high-dimensional data. Modern approaches frequently cast ...
The rapid emergence of high-throughput genomic profiling has led to datasets encompassing tens of thousands to millions of measurements per sample. In such settings, classical statistical techniques ...
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