1 citations · 1 across the 4 of their papers we have counts for
9 papers
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…
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…
Reframing Three-Dimensional Morphometrics Through Functional Data Innovations
Aneesha Balachandran Pillay, Issa-Mbenard Dabo, Sophie Dabo-Niang +1
This study innovates geometric morphometrics by incorporating functional data analysis, the square-root velocity function (SRVF), and arc-length parameterisation for 3D morphometri…
Functional regression with randomized signatures: An application to age-specific mortality rates
Zhong Jing Yap, Dharini Pathmanathan, Sophie Dabo-Niang
We propose a novel extension of the Hyndman-Ullah (HU) model to forecast mortality rates by integrating randomized signatures, referred to as the HU model with randomized signature…
Compositional data analysis for modelling and forecasting mortality using the α-transformation
Han Ying Lim, Dharini Pathmanathan, Sophie Dabo-Niang
Mortality forecasting is crucial for demographic planning and actuarial studies, especially for projecting population ageing and longevity risk. Classical approaches largely rely o…
Spatial Principal Component Analysis and Moran Statistics for Multivariate Functional Areal Data
Dharini Pathmanathan, Issa-Mbenard Dabo, Tzung Hsuen Khoo +2
The paper introduces a multivariate functional areal spatial principal component analysis (mfasPCA) framework, together with multivariate functional Moran's I statistics, to enable…