This short course is aimed to statisticians and other researchers who are interested in learning about Geoadditive Regression with Software BayesX (www.bayesx.org). Geoadditive regression i.e. penalised spline smoothing and structured additive distributional regression models provide a simple yet flexible possibility to introduce nonlinear covariate effects in any type of regression models. In a Bayesian formulation, the penalty terms transform into specific prior distributions that enforce appropriate smoothness of the estimates. The short course will focus on fundamental construction principles of structured additive regression models under Bayesian perspective.
Lecturers
Thomas Kneib / Hauke Thaden (Georg-August-Universität Göttingen, Germany)
Date
1-2 February 2017
