Bayesian Functional Data Analysis Using WinBUGS

Ciprian M. Crainiceanu and A. Jeffrey Goldsmith

Journal of Statistical Software, 2010, vol. 032, issue i11

Abstract: 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.

Date: 2010-01-05
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Persistent link: https://EconPapers.repec.org/RePEc:jss:jstsof:v:032:i11

DOI: 10.18637/jss.v032.i11

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