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  • 标题:Bayesian Functional Data Analysis Using WinBUGS
  • 本地全文:下载
  • 作者:Ciprian M. Crainiceanu ; A. Jeffrey Goldsmith
  • 期刊名称:Journal of Statistical Software
  • 印刷版ISSN:1548-7660
  • 电子版ISSN:1548-7660
  • 出版年度:2010
  • 卷号:32
  • 期号:1
  • 页码:1-33
  • 语种:English
  • 出版社:University of California, Los Angeles
  • 摘要:We provide user friendly software for Bayesian analysis of functional data models using pkg{WinBUGS}~1.4. The excellent properties of Bayesian analysis in this context are due to: (1) dimensionality reduction, which leads to low dimensional projection bases; (2) mixed model representation of functional models, which provides a modular approach to model extension; and (3) orthogonality of the principal component bases, which contributes to excellent chain convergence and mixing properties. Our paper provides one more, essential, reason for using Bayesian analysis for functional models: the existence of software.
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