26 citations · 46 across the 5 of their papers we have counts for
6 papers
Moment-Based Selection of Multiresponse Linear Mixed-Effects Models
Yifan Chen, Yuedong Wang, Guo Yu
We propose MOMENT (\textbf{MO}ment-Based \textbf{M}ixed-\textbf{E}ffects Selectio\textbf{N} and Es\textbf{T}imation), a stage-wise moment-based framework that exploits second-order…
Sparse Positive-Definite Estimation for Covariance Matrices with Repeated Measurements
Sunpeng Duan, Guo Yu, Juntao Duan +1
Repeated measurements are common in many fields, where random variables are observed repeatedly across different subjects. Such data have an underlying hierarchical structure, and…
Controlling Costs: Feature Selection on a Budget
Guo Yu, Daniela Witten, Jacob Bien
The traditional framework for feature selection treats all features as costing the same amount. However, in reality, a scientist often has considerable discretion regarding which v…
Reluctant Interaction Modeling
Guo Yu, Jacob Bien, Ryan Tibshirani
Including pairwise interactions between the predictors of a regression model can produce better predicting models. However, to fit such interaction models on typical data sets in b…
Estimating the error variance in a high-dimensional linear model
Guo Yu, Jacob Bien
The lasso has been studied extensively as a tool for estimating the coefficient vector in the high-dimensional linear model; however, considerably less is known about estimating th…
Learning Local Dependence In Ordered Data
Guo Yu, Jacob Bien
In many applications, data come with a natural ordering. This ordering can often induce local dependence among nearby variables. However, in complex data, the width of this depende…