6 papers
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…
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…
Generalized dynamic functional principal component analysis
Tzung Hsuen Khoo, Issa-Mbenard Dabo, Dharini Pathmanathan +1
In this paper, we explore dimension reduction for functional time series. We propose a generalized dynamic functional principal component analysis (GDFPCA) which does not rely on s…
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…
Forecasting mortality rates with functional signatures
Zhong Jing Yap, Dharini Pathmanathan, Sophie Dabo-Niang
This study introduces an innovative methodology for mortality forecasting, which integrates signature-based methods within the functional data framework of the Hyndman-Ullah (HU) m…