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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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| 主要な著者: | , , , |
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| フォーマット: | Artigo |
| 言語: | Inglês |
| 出版事項: |
2010
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| 主題: | |
| オンライン･アクセス: | 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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