331 citations · 1.3k across the 39 of their papers we have counts for
6 papers · 1 filter
A goodness-of-fit test for stochastic block models
Jing Lei
The stochastic block model is a popular tool for studying community structures in network data. We develop a goodness-of-fit test for the stochastic block model. The test statistic…
A Generic Sample Splitting Approach for Refined Community Recovery in Stochastic Block Models
Jing Lei, Lingxue Zhu
We propose and analyze a generic method for community recovery in stochastic block models and degree corrected block models. This approach can exactly recover the hidden communitie…
Network Cross-Validation for Determining the Number of Communities in Network Data
Kehui Chen, Jing Lei
The stochastic block model and its variants have been a popular tool in analyzing large network data with community structures. In this paper we develop an efficient network cross-…
The functional mean-shift algorithm for mode hunting and clustering in infinite dimensions
Mattia Ciollaro, Christopher Genovese, Jing Lei +1
We introduce the functional mean-shift algorithm, an iterative algorithm for estimating the local modes of a surrogate density from functional data. We show that the algorithm can…
Functional Regression for Quasar Spectra
Mattia Ciollaro, Jessi Cisewski, Peter Freeman +4
The Lyman-alpha forest is a portion of the observed light spectrum of distant galactic nuclei which allows us to probe remote regions of the Universe that are otherwise inaccessibl…
Sparsistency and agnostic inference in sparse PCA
Jing Lei, Vincent Q. Vu
The presence of a sparse "truth" has been a constant assumption in the theoretical analysis of sparse PCA and is often implicit in its methodological development. This naturally ra…