156 citations · 257 across the 30 of their papers we have counts for
4 papers · 2 filters
Robust Estimation of Sparse Precision Matrix using Adaptive Weighted Graphical Lasso Approach
Peng Tang, Huijing Jiang, Heeyoung Kim +1
Estimation of a precision matrix (i.e., inverse covariance matrix) is widely used to exploit conditional independence among continuous variables. The influence of abnormal observat…
Efficient Experimental Design for Regularized Linear Models
C. Devon Lin, Peter Chien, Xinwei Deng
Regularized linear models, such as Lasso, have attracted great attention in statistical learning and data science. However, there is sporadic work on constructing efficient data co…
On Efficient Design of Pilot Experiment for Generalized Linear Models
Yiou Li, Xinwei Deng
The experimental design for a generalized linear model (GLM) is important but challenging since the design criterion often depends on model specification including the link functio…
A Generative Approach to Joint Modeling of Quantitative and Qualitative Responses
Xiaoning Kang, Lulu Kang, Wei Chen +1
In many scientific areas, data with quantitative and qualitative (QQ) responses are commonly encountered with a large number of predictors. By exploring the association between QQ…