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Bayesian hierarchical linear mixed models for additive smoothing splines

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Author Info
Dongchu Sun ()
Paul Speckman ()
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File URL: http://hdl.handle.net/10.1007/s10463-007-0127-3
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Publisher Info
Article provided by Springer in its journal Annals of the Institute of Statistical Mathematics.

Volume (Year): 60 (2008)
Issue (Month): 3 (September)
Pages: 499-517
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Handle: RePEc:spr:aistmt:v:60:y:2008:i:3:p:499-517

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Related research
Keywords: Generalized linear mixed models; Gibbs sampling; Linear mixed models; Markov chain Monte Carlo; Multivariate normal; Variance components;

References listed on IDEAS
Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:

  1. Carter, C.K. & Kohn, R., . "Markov Chain Monte Carlo in Conditionally Gaussian State Space Models," Statistics Working Paper _003, Australian Graduate School of Management.
  2. Ludwig Fahrmeir & Stefan Lang, 2001. "Bayesian inference for generalized additive mixed models based on Markov random field priors," Journal Of The Royal Statistical Society Series C, Royal Statistical Society, vol. 50(2), pages 201-220. [Downloadable!] (restricted)
  3. Paul L. Speckman, 2003. "Fully Bayesian spline smoothing and intrinsic autoregressive priors," Biometrika, Oxford University Press for Biometrika Trust, vol. 90(2), pages 289-302, June.
  4. Wong, Chi-ming & Kohn, Robert, 1996. "A Bayesian approach to additive semiparametric regression," Journal of Econometrics, Elsevier, vol. 74(2), pages 209-235, October. [Downloadable!] (restricted)
  5. Sally Wood & Robert Kohn & Tom Shively & Wenxin Jiang, 2002. "Model selection in spline nonparametric regression," Journal Of The Royal Statistical Society Series B, Royal Statistical Society, vol. 64(1), pages 119-139. [Downloadable!] (restricted)
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This page was last updated on 2009-12-30.

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