183 citations · 469 across the 31 of their papers we have counts for
8 papers · 1 filter
Skewed Pivot-Blend Modeling with Applications to Semicontinuous Outcomes
Yiyuan She, Xiaoqiang Wu, Lizhu Tao +1
Skewness is a common occurrence in statistical applications. In recent years, various distribution families have been proposed to model skewed data by introducing unequal scales ba…
On Generalization and Computation of Tukey's Depth: Part II
Yiyuan She, Shao Tang, Jingze Liu
This paper studies how to generalize Tukey's depth to problems defined in a restricted space that may be curved or have boundaries, and to problems with a nondifferentiable objecti…
On Generalization and Computation of Tukey's Depth: Part I
Yiyuan She, Shao Tang, Jingze Liu
Tukey's depth offers a powerful tool for nonparametric inference and estimation, but also encounters serious computational and methodological difficulties in modern statistical dat…
Gaining Outlier Resistance with Progressive Quantiles: Fast Algorithms and Theoretical Studies
Yiyuan She, Zhifeng Wang, Jiahui Shen
Outliers widely occur in big-data applications and may severely affect statistical estimation and inference. In this paper, a framework of outlier-resistant estimation is introduce…
On Cross-validation for Sparse Reduced Rank Regression
Yiyuan She, Hoang Tran
In high-dimensional data analysis, regularization methods pursuing sparsity and/or low rank have received a lot of attention recently. To provide a proper amount of shrinkage, it i…
Robust Orthogonal Complement Principal Component Analysis
Yiyuan She, Shijie Li, Dapeng Wu
Recently, the robustification of principal component analysis has attracted lots of attention from statisticians, engineers and computer scientists. In this work we study the type…
Selective Factor Extraction in High Dimensions
Yiyuan She
This paper studies simultaneous feature selection and extraction in supervised and unsupervised learning. We propose and investigate selective reduced rank regression for construct…
Outlier Detection Using Nonconvex Penalized Regression
Yiyuan She, Art B. Owen
This paper studies the outlier detection problem from the point of view of penalized regressions. Our regression model adds one mean shift parameter for each of the data points…