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20232026
most citedForecasting mortality rates with functional signatures

2 citations · 3 across the 7 of their papers we have counts for

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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…