29 citations · 86 across the 9 of their papers we have counts for
9 papers
Exact and efficient inference for Partial Bayes problems
Yixuan Qiu, Lingsong Zhang, Chuanhai Liu
Bayesian methods are useful for statistical inference. However, real-world problems can be challenging using Bayesian methods when the data analyst has only limited prior knowledge…
Finite-sample bounds for the multivariate Behrens-Fisher distribution with proportional covariances
Yixuan Qiu, Lingsong Zhang
The Behrens-Fisher problem is a well-known hypothesis testing problem in statistics concerning two-sample mean comparison. In this article, we confirm one conjecture in Eaton and O…
Modeling Light Curves for Improved Classification
Julian Faraway, Ashish Mahabal, Jiayang Sun +4
Many synoptic surveys are observing large parts of the sky multiple times. The resulting lightcurves provide a wonderful window to the dynamic nature of the universe. However, ther…
Robust regularized singular value decomposition with application to mortality data
Lingsong Zhang, Haipeng Shen, Jianhua Z. Huang
We develop a robust regularized singular value decomposition (RobRSVD) method for analyzing two-way functional data. The research is motivated by the application of modeling human…
Flexible High-dimensional Classification Machines and Their Asymptotic Properties
Xingye Qiao, Lingsong Zhang
Classification is an important topic in statistics and machine learning with great potential in many real applications. In this paper, we investigate two popular large margin class…
Distance-weighted Support Vector Machine
Xingye Qiao, Lingsong Zhang
A novel linear classification method that possesses the merits of both the Support Vector Machine (SVM) and the Distance-weighted Discrimination (DWD) is proposed in this article.…