2 citations · 3 across the 3 of their papers we have counts for
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★ 2 cited
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★ 1 cited
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…