2 papers
stat.ME2022
Stability Approach to Regularization Selection for Reduced-Rank Regression
Canhong Wen, Qin Wang, Yuan Jiang
The reduced-rank regression model is a popular model to deal with multivariate response and multiple predictors, and is widely used in biology, chemometrics, econometrics, engineer…
stat.ME2017
New Parsimonious Multivariate Spatial Model: Spatial Envelope
Hossein Moradi Rekabdarkolaee, Qin Wang, Zahra Naji +1
Dimension reduction provides a useful tool for analyzing high dimensional data. The recently developed \textit{Envelope} method is a parsimonious version of the classical multivari…