Exploring hierarchical framework of nonlinear sparse Bayesian learning algorithm through numerical investigations

Nastaran Dabiran, Brandon Robinson, Rimple Sandhu +4

Sparse Bayesian learning (SBL) has been extensively utilized in data-driven modeling to combat the issue of overfitting. While SBL excels in linear-in-parameter models, its direct…