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stat.ME2026
Variable-Projection Sparse Functional Principal Component Analysis: Interpretable Functional Dimensionality Reduction with Applications to Raman Spectral Data
Han Ying Lim, Dharini Pathmanathan, Philipp Otto +1
Functional principal component analysis (FPCA) provides low-rank representations of functional data but generally produces dense components, making it difficult to identify the loc…
stat.ME2026
Neighbourhood-Based Generalized Dynamic Principal Components for Spatial Functional Data
Dharini Pathmanathan, Teck Xiang Seow, Philipp Otto +1
Regular-grid spatial functional datasets arise naturally in gridded environmental, oceanographic, climate, and remote-sensing applications, where each spatial location is associate…