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20142020
most citedA note on the condition number of the scaled total least squares problem

8 citations · 14 across the 9 of their papers we have counts for

collaborators

9 papers

stat.ME2020★ 1 cited

Interaction Pursuit Biconvex Optimization

Yuehan Yang, Siwei Xia, Hu Yang

Multivariate regression models are widely used in various fields such as biology and finance. In this paper, we focus on two key challenges: (a) When should we favor a multivariate…

stat.ME2019★ 1 cited

Sparse Laplacian Shrinkage with the Graphical Lasso Estimator for Regression Problems

Yuehan Yang, Siwei Xia, Hu Yang

This paper considers a high-dimensional linear regression problem where there are complex correlation structures among predictors. We propose a graph-constrained regularization pro…

stat.ME2019

Smooth Adjustment for Correlated Effects

Yuehan Yang, Hu Yang

This paper considers a high dimensional linear regression model with corrected variables. A variety of methods have been developed in recent years, yet it is still challenging to k…

math.ST2018

Semiparametric model averaging for high dimensional conditional quantile prediction

Jingwen Tu, Hu Yang, Chaohui Guo

In this article, we propose a penalized high dimensional semiparametric model average quantile prediction approach that is robust for forecasting the conditional quantile of the re…

math.NA2017★ 8 cited

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…

math.NA2016★ 1 cited

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…