no code implementations • 9 Sep 2021 • Shaojie Xu, Joel Vaughan, Jie Chen, Agus Sudjianto, Vijayan Nair
Principal component analysis (PCA) is a well-known linear dimension-reduction method that has been widely used in data analysis and modeling.
no code implementations • 22 Aug 2018 • Xiaoyu Liu, Jie Chen, Joel Vaughan, Vijayan Nair, Agus Sudjianto
Interpreting a nonparametric regression model with many predictors is known to be a challenging problem.