3 citations · 3 across the 4 of their papers we have counts for
10 papers
From local to global gene co-expression estimation using single-cell RNA-seq data
Jinjin Tian, Jing Lei, Kathryn Roeder
In genomics studies, the investigation of the gene relationship often brings important biological insights. Currently, the large heterogeneous datasets impose new challenges for st…
Gradient-based Sparse Principal Component Analysis with Extensions to Online Learning
Yixuan Qiu, Jing Lei, Kathryn Roeder
Sparse principal component analysis (PCA) is an important technique for dimensionality reduction of high-dimensional data. However, most existing sparse PCA algorithms are based on…
Global and Local Two-Sample Tests via Regression
Ilmun Kim, Ann B. Lee, Jing Lei
Two-sample testing is a fundamental problem in statistics. Despite its long history, there has been renewed interest in this problem with the advent of high-dimensional and complex…
On the probability that two random integers are coprime
Jing Lei, Joseph B. Kadane
We show that there is a non-empty class of finitely additive probabilities on such that for each member of the class, each set with limiting relative frequency ha…
Convergence and Concentration of Empirical Measures under Wasserstein Distance in Unbounded Functional Spaces
Jing Lei
We provide upper bounds of the expected Wasserstein distance between a probability measure and its empirical version, generalizing recent results for finite dimensional Euclidean s…
Network Representation Using Graph Root Distributions
Jing Lei
Exchangeable random graphs serve as an important probabilistic framework for the statistical analysis of network data. In this work we develop an alternative parameterization for a…