8 citations · 13 across the 10 of their papers we have counts for
10 papers
Robust and Well-conditioned Sparse Estimation for High-dimensional Covariance Matrices
Shaoxin Wang, Ziyun Ma
Estimating covariance matrices with high-dimensional complex data presents significant challenges, particularly concerning positive definiteness, sparsity, and numerical stability.…
-norm Regularized Indefinite Kernel Logistic Regression
Shaoxin Wang, Hanjing Yao
Kernel logistic regression (KLR) is a powerful classification method widely applied across diverse domains. In many real-world scenarios, indefinite kernels capture more domain-spe…
A Bayesian Sparse Kronecker Product Decomposition Framework for Tensor Predictors with Mixed-Type Responses
Shao-Hsuan Wang, Hsin-Hsiung Huang
Ultra-high-dimensional tensor predictors are increasingly common in neuroimaging and other biomedical studies, yet existing methods rarely integrate continuous, count, and binary r…
An efficient numerical method for condition number constrained covariance matrix approximation
Shaoxin Wang
In the high-dimensional data setting, the sample covariance matrix is singular. In order to get a numerically stable and positive definite modification of the sample covariance mat…
A note on the condition number of the scaled total least squares problem
Shaoxin Wang, Hanyu Li, Hu Yang
In this paper, we consider the explicit expressions of the normwise condition number for the scaled total least squares problem. Some techniques are introduced to simplify the expr…
On the condition number theory of the equality constrained indefinite least squares problem
Shaoxin Wang, Hanyu Li, Hu Yang
In this paper, within a unified framework of the condition number theory we present the explicit expression of the projected condition number of the equality constrained indefinite…
On the penalized maximum likelihood estimation of high-dimensional approximate factor model
Shaoxin Wang, Hu Yang, Chaoli Yao
In this paper, we mainly focus on the penalized maximum likelihood estimation (MLE) of the high-dimensional approximate factor model. Since the current estimation procedure can not…
On the partial condition numbers for the indefinite least squares problem
Hanyu Li, Shaoxin Wang
The condition number of a linear function of the indefinite least squares solution is called the partial condition number for the indefinite least squares problem. In this paper, b…
Partial condition number for the equality constrained linear least squares problem
Hanyu Li, Shaoxin Wang
In this paper, the normwise condition number of a linear function of the equality constrained linear least squares solution called the partial condition number is considered. Its e…
Perturbation analysis for the periodic generalized coupled Sylvester equation
Hanyu Li, Shaoxin Wang, Chan Zheng
In this paper, we consider the perturbation analysis for the periodic generalized coupled Sylvester (PGCS) equation. The normwise backward error for this equation is first obtained…