Ultra-Efficient MCMC for Bayesian Longitudinal Functional Data Analysis

Functional mixed models are widely useful for regression analysis with dependent functional data, including longitudinal functional data with scalar predictors. However, existing algorithms for Bayesian inference with these models only provide either scalable computing or accurate approximations to...

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Bibliographic Details
Published in:	Journal of computational and graphical statistics Vol. 34; no. 1; pp. 34 - 46
Main Authors:	Sun, Thomas Y., Kowal, Daniel R.
Format:	Journal Article
Language:	English
Published:	Taylor & Francis 02.01.2025
Subjects:	Actigraphy data Function-on-scalar regression Gibbs sampler Mixed models
ISSN:	1061-8600, 1537-2715
Online Access:	Get full text
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