Modeling sparse longitudinal data on Riemannian manifolds
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Publication:6055489
DOI10.1111/biom.13385zbMath1520.62173OpenAlexW3091791419WikidataQ100505579 ScholiaQ100505579MaRDI QIDQ6055489
Hans-Georg Müller, Xiongtao Dai, Zhenhua Lin
Publication date: 30 October 2023
Published in: Biometrics (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1111/biom.13385
principal component analysisfunctional data analysisAlzheimer's diseasesymmetric positive-definite matricessampling schemeslongitudinal compositional dataneuroimaging studies
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Intrinsic Riemannian functional data analysis for sparse longitudinal observations, LESA: Longitudinal Elastic Shape Analysis of Brain Subcortical Structures, Sasaki metric for spline models of manifold-valued trajectories, A data-adaptive dimension reduction for functional data via penalized low-rank approximation, Tukey’s Depth for Object Data
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