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Priors for Bayesian adaptive spline smoothing

  • Yu Yue

    ()

  • Paul Speckman

    ()

  • Dongchu Sun

    ()

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    No abstract is available for this item.

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    File URL: http://hdl.handle.net/10.1007/s10463-010-0321-6
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    Article provided by Springer in its journal Annals of the Institute of Statistical Mathematics.

    Volume (Year): 64 (2012)
    Issue (Month): 3 (June)
    Pages: 577-613

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    Handle: RePEc:spr:aistmt:v:64:y:2012:i:3:p:577-613
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    1. Sarat C. Dass & James O. Berger, 2003. "Unified Conditional Frequentist and Bayesian Testing of Composite Hypotheses," Scandinavian Journal of Statistics, Danish Society for Theoretical Statistics;Finnish Statistical Society;Norwegian Statistical Association;Swedish Statistical Association, vol. 30(1), pages 193-210.
    2. repec:cup:cbooks:9780521780506 is not listed on IDEAS
    3. Sally A. Wood, 2002. "Bayesian mixture of splines for spatially adaptive nonparametric regression," Biometrika, Biometrika Trust, vol. 89(3), pages 513-528, August.
    4. Paul L. Speckman, 2003. "Fully Bayesian spline smoothing and intrinsic autoregressive priors," Biometrika, Biometrika Trust, vol. 90(2), pages 289-302, June.
    5. A. Brezger & L. Fahrmeir & A. Hennerfeind, 2007. "Adaptive Gaussian Markov random fields with applications in human brain mapping," Journal of the Royal Statistical Society Series C, Royal Statistical Society, vol. 56(3), pages 327-345.
    6. Leonhard Knorr-Held & Sylvia Richardson, 2003. "A hierarchical model for space-time surveillance data on meningococcal disease incidence," Journal of the Royal Statistical Society Series C, Royal Statistical Society, vol. 52(2), pages 169-183.
    7. Smith, Michael & Kohn, Robert, 1996. "Nonparametric regression using Bayesian variable selection," Journal of Econometrics, Elsevier, vol. 75(2), pages 317-343, December.
    8. Liang, Feng & Paulo, Rui & Molina, German & Clyde, Merlise A. & Berger, Jim O., 2008. "Mixtures of g Priors for Bayesian Variable Selection," Journal of the American Statistical Association, American Statistical Association, vol. 103, pages 410-423, March.
    9. Long Ngo & Matthew P. Wand, . "Smoothing with Mixed Model Software," Journal of Statistical Software, American Statistical Association, vol. 9(i01).
    10. Carter, C.K. & Kohn, R., . "Markov Chain Monte Carlo in Conditionally Gaussian State Space Models," Statistics Working Paper _003, Australian Graduate School of Management.
    11. Vrontos, I D & Dellaportas, P & Politis, D N, 2000. "Full Bayesian Inference for GARCH and EGARCH Models," Journal of Business & Economic Statistics, American Statistical Association, vol. 18(2), pages 187-98, April.
    12. Alexandre Pintore & Paul Speckman & Chris C. Holmes, 2006. "Spatially adaptive smoothing splines," Biometrika, Biometrika Trust, vol. 93(1), pages 113-125, March.
    13. Finn Lindgren & H�Vard Rue, 2008. "On the Second-Order Random Walk Model for Irregular Locations," Scandinavian Journal of Statistics, Danish Society for Theoretical Statistics;Finnish Statistical Society;Norwegian Statistical Association;Swedish Statistical Association, vol. 35(4), pages 691-700.
    14. Dongchu Sun & Paul Speckman, 2008. "Bayesian hierarchical linear mixed models for additive smoothing splines," Annals of the Institute of Statistical Mathematics, Springer, vol. 60(3), pages 499-517, September.
    15. Marin, Jean-Michel & Robert, Christian P., 2007. "Bayesian Core: A practical approach to computational Bayesian statistics," Economics Papers from University Paris Dauphine 123456789/1906, Paris Dauphine University.
    16. Nakatsuma, Teruo, 2000. "Bayesian analysis of ARMA-GARCH models: A Markov chain sampling approach," Journal of Econometrics, Elsevier, vol. 95(1), pages 57-69, March.
    17. repec:cup:cbooks:9780521785167 is not listed on IDEAS
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