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Propriety of posteriors in structured additive regression models: Theory and empirical evidence
2009
Journal of Statistical Planning and Inference
Structured additive regression comprises many semiparametric regression models such as generalized additive (mixed) models, geoadditive models, and hazard regression models within a unified framework. In a Bayesian formulation, nonparametric functions, spatial effects and further model components are specified in terms of multivariate Gaussian priors for high-dimensional vectors of regression coefficients. For several model terms, such as penalised splines or Markov random fields, these
doi:10.1016/j.jspi.2008.05.036
fatcat:64hfid4uunhs7hpuxzohl6dfr4