From Sparse to Dense Functional Data in High Dimensions: Phase Transitions Revisited
A team from Renmin University of China, Tsinghua University, and the University of Hong Kong proved that the classical sparse-to-dense transition in functional data analysis shifts when the number of functional variables grows large — and derived the exact non-asymptotic…
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