96 citations · 224 across the 10 of their papers we have counts for
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stat.ME2022
Eigen-Adjusted Functional Principal Component Analysis
Ci-Ren Jiang, Eardi Lila, John AD Aston +1
Functional Principal Component Analysis (FPCA) has become a widely-used dimension reduction tool for functional data analysis. When additional covariates are available, existing FP…
stat.ME2016
Sensible Functional Linear Discriminant Analysis
Lu-Hung Chen, Ci-Ren Jiang
The focus of this paper is to extend Fisher's linear discriminant analysis (LDA) to both densely re-corded functional data and sparsely observed longitudinal data for general -c…
stat.ME2015★ 26 cited
Multi-dimensional Functional Principal Component Analysis
Lu-Hung Chen, Ci-Ren Jiang
Functional principal component analysis is one of the most commonly employed approaches in functional and longitudinal data analysis and we extend it to analyze functional/longitud…