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Longitudinal functional principal component modeling via Stochastic Approximation Monte Carlo

The authors consider the analysis of hierarchical longitudinal functional data based upon a functional principal components approach. In contrast to standard frequentist approaches to selecting the number of principal components, the authors do model averaging using a Bayesian formulation. A relativ...

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Main Authors: Martinez, Josue G., Liang, Faming, Zhou, Lan, Carroll, Raymond J.
Format: Artigo
Jezik:Inglês
Izdano: 2010
Teme:
Online dostop:https://ncbi.nlm.nih.gov/pmc/articles/PMC2915799/
https://ncbi.nlm.nih.gov/pubmed/20689648
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1002/cjs.10062
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