1 citations · 1 across the 2 of their papers we have counts for
5 papers
Selection of Ultrahigh-Dimensional Interactions Using Penalty
Tonglin Zhang
Selecting interactions from an ultrahigh-dimensional statistical model with observations and variables when is difficult because the number of candidates for inter…
Unsupervised Variable Selection for Ultrahigh-Dimensional Clustering Analysis
Tonglin Zhang, Huyunting Huang
Compared to supervised variable selection, the research on unsupervised variable selection is far behind. A forward partial-variable clustering full-variable loss (FPCFL) method is…
Aggregated Sure Independence Screening for Variable Selection with Interaction Structures
Tonglin Zhang
A new method called the aggregated sure independence screening is proposed for the computational challenges in variable selection of interactions when the number of explanatory var…
Generalized k-Means in GLMs with Applications to the Outbreak of COVID-19 in the United States
Tonglin Zhang, Ge Lin
Generalized -means can be incorporated with any similarity or dissimilarity measure for clustering. By choosing the dissimilarity measure as the well known likelihood ratio or $…
Substationarity in Spatial Point Processes
Tonglin Zhang, Jorge Mateu
The goal of the article is to develop the approach of substationarity to spatial point processes (SPPs). Substationarity is a new concept, which has never been studied in the liter…