754 citations · 1.7k across the 32 of their papers we have counts for
7 papers · 1 filter
Subject clustering by IF-PCA and several recent methods
Dieyi Chen, Jiashun Jin, Zheng Tracy Ke
Subject clustering (i.e., the use of measured features to cluster subjects, such as patients or cells, into multiple groups) is a problem of great interest. In recent years, many a…
Allocation of COVID-19 Testing Budget on a Commute Network of Counties
Yaxuan Huang, Zheng Tracy Ke, Jiashun Jin
The screening testing is an effective tool to control the early spread of an infectious disease such as COVID-19. When the total testing capacity is limited, we aim to optimally al…
Network Global Testing by Counting Graphlets
Jiashun Jin, Zheng Tracy Ke, Shengming Luo
Consider a large social network with possibly severe degree heterogeneity and mixed-memberships. We are interested in testing whether the network has only one community or there ar…
Mixed Membership Estimation for Social Networks
Jiashun Jin, Zheng Tracy Ke, Shengming Luo
In economics and social science, network data are regularly observed, and a thorough understanding of the network community structure facilitates the comprehension of economic patt…
Partial Correlation Screening for Estimating Large Precision Matrices, with Applications to Classification
Shiqiong Huang, Jiashun Jin, Zhigang Yao
We propose Partial Correlation Screening (PCS) as a new row-by-row approach to estimating a large precision matrix . To estimate the -th row of , , PCS us…
Influential Feature PCA for high dimensional clustering
Jiashun Jin, Wanjie Wang
We consider a clustering problem where we observe feature vectors , , from possible classes. The class labels are unknown and the main interes…