JdS2012


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Résumé 78 :

Bayesian ODE-penalized B-spline model with Gaussian mixture as error distribution
Jaeger, Jonathan ; Lambert, Philippe
UCL

In the standard Bayesian ODE-penalized B-spline approach, it is assumed that the error distribution is homogeneous Gaussian. But, in many applications, the normal assumption for the error distribution is not a realistic choice. The goal of this paper is to extend the standard Bayesian ODE-penalized B-spline approach to settings where the error term distribution can be described using a mixture of normals.