10 citations · 10 across the 2 of their papers we have counts for
2 papers
math.ST2025
Kronecker sum covariance models for spatio-temporal data
Shuheng Zhou, Seyoung Park, Kerby Shedden
In this paper, we study the subgaussian matrix variate model, where we observe the matrix variate data which consists of a signal matrix and a noise matrix . More spec…
math.ST2010★ 10 cited
The adaptive and the thresholded Lasso for potentially misspecified models
Sara van de Geer, Peter Buhlmann, Shuheng Zhou
We revisit the adaptive Lasso as well as the thresholded Lasso with refitting, in a high-dimensional linear model, and study prediction error, -error (),…