Functional data analysis (FDA) extends classical statistics to the study of observations that vary over a continuum, such as curves, surfaces or images. In modern applications—from genomics and ...
High-dimensional data arise when the number of measured variables far exceeds the number of observations, a situation common in genomics, image analysis and finance. This imbalance introduces ...
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