Brandon Robinson

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

2023 · arXiv (Cornell University)

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 applicability is limited in models where observations possess nonlinear relationships …