29 citations · 38 across the 7 of their papers we have counts for
7 papers
Hypothesis Testing of One-Sample Mean Vector in Distributed Frameworks
Bin Du, Junlong Zhao
Distributed frameworks are widely used to handle massive data, where sample size is very large, and data are often stored in different machines. For a random vector $X\in \…
Angle-based hierarchical classification using exact label embedding
Yiwei Fan, Xiaoling Lu, Yufeng Liu +1
Hierarchical classification problems are commonly seen in practice. However, most existing methods do not fully utilize the hierarchical information among class labels. In this pap…
Multiple Influential Point Detection in High-Dimensional Spaces
Junlong Zhao, Chao Liu, Lu Niu +1
Influence diagnosis is an integrated component of data analysis, but is severely under-investigated in a high-dimensional setting. One of the key challenges, even in a fixed-dimens…
An analysis of penalized interaction models
Junlong Zhao, Chenlei Leng
An important consideration for variable selection in interaction models is to design an appropriate penalty that respects hierarchy of the importance of the variables. A common the…
Estimation for ultra-high dimensional factor model: a pivotal variable detection based approach
Junlong Zhao, Hongyu Zhao, Lixing Zhu
For factor model, the involved covariance matrix often has no row sparse structure because the common factors may lead some variables to strongly associate with many others. Under…
High-dimensional influence measure
Junlong Zhao, Chenlei Leng, Lexin Li +1
Influence diagnosis is important since presence of influential observations could lead to distorted analysis and misleading interpretations. For high-dimensional data, it is partic…