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High dimensional structured additive regression models: Bayesian regularization, smoothing and predictive performance

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  • Thomas Kneib
  • Susanne Konrath
  • Ludwig Fahrmeir

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  • Thomas Kneib & Susanne Konrath & Ludwig Fahrmeir, 2011. "High dimensional structured additive regression models: Bayesian regularization, smoothing and predictive performance," Journal of the Royal Statistical Society Series C, Royal Statistical Society, vol. 60(1), pages 51-70, January.
    • Handle: RePEc:bla:jorssc:v:60:y:2011:i:1:p:51-70
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    Cited by:

    1. Fabian Scheipl & Thomas Kneib & Ludwig Fahrmeir, 2013. "Penalized likelihood and Bayesian function selection in regression models," AStA Advances in Statistical Analysis, Springer;German Statistical Society, vol. 97(4), pages 349-385, October.
    2. Bernardi, Mauro & Bottone, Marco & Petrella, Lea, 2018. "Bayesian quantile regression using the skew exponential power distribution," Computational Statistics & Data Analysis, Elsevier, vol. 126(C), pages 92-111.
    3. Elisabeth Waldmann & Thomas Kneib & Yu Ryan Yu & Stefan Lang, 2012. "Bayesian semiparametric additive quantile regression," Working Papers 2012-06, Faculty of Economics and Statistics, Universität Innsbruck.
    4. Groll, Andreas & Hambuckers, Julien & Kneib, Thomas & Umlauf, Nikolaus, 2019. "LASSO-type penalization in the framework of generalized additive models for location, scale and shape," Computational Statistics & Data Analysis, Elsevier, vol. 140(C), pages 59-73.

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