Estimating the smoothing parameter in generalized spline-based regression: II. Empirical and fully Bayesian approaches. Experiences with Gibbs sampling in simulated results

DOI10.1007/S001800100052zbMath1007.62037OpenAlexW3180051445MaRDI QIDQ1861589

Angelika van der Linde

Publication date: 9 March 2003

Published in: Computational Statistics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s001800100052

zbMATH Keywords

empirical BayesMarkov chain Monte Carlospline smoothing

Mathematics Subject Classification ID

Computational methods for problems pertaining to statistics (62-08) Nonparametric regression and quantile regression (62G08) Bayesian inference (62F15) Empirical decision procedures; empirical Bayes procedures (62C12)

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