3 papers
stat.ME2023
Robust Bayesian Functional Principal Component Analysis
Jiarui Zhang, Jiguo Cao, Liangliang Wang
We develop a robust Bayesian functional principal component analysis (RB-FPCA) method that utilizes the skew elliptical class of distributions to model functional data, which are o…
stat.ME2023
Generalized Bayesian Multidimensional Scaling and Model Comparison
Jiarui Zhang, Jiguo Cao, Liangliang Wang
Multidimensional scaling (MDS) is widely used to reconstruct a low-dimensional representation of high-dimensional data while preserving pairwise distances. However, Bayesian MDS ap…
stat.ME2023
Differentially private sliced inverse regression in the federated paradigm
Shuaida He, Jiarui Zhang, Xin Chen
Sliced inverse regression (SIR), which includes linear discriminant analysis (LDA) as a special case, is a popular and powerful dimension reduction tool. In this article, we extend…