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20072026
most citedAsymptotics in directed exponential random graph models with an increasing bi-degree sequence

75 citations · 252 across the 29 of their papers we have counts for

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9 papers · 1 filter

math.ST2021★ 4 cited

An Annotated Graph Model with Differential Degree Heterogeneity for Directed Networks

Stefan Stein, Chenlei Leng

Directed networks are conveniently represented as graphs in which ordered edges encode interactions between vertices. Despite their wide availability, there is a shortage of statis…

math.ST2020★ 2 cited

A Sparse Beta Regression Model for Network Analysis

Stefan Stein, Rui Feng, Chenlei Leng

For statistical analysis of network data, the -model has emerged as a useful tool, thanks to its flexibility in incorporating nodewise heterogeneity and theoretical tractability…

math.ST2018★ 5 cited

Spectral Analysis of High-dimensional Time Series

Mark Fiecas, Chenlei Leng, Weidong Liu +1

A useful approach for analysing multiple time series is via characterising their spectral density matrix as the frequency domain analog of the covariance matrix. When the dimension…

math.ST2016★ 5 cited

An analysis of penalized interaction models

Junlong Zhao, Chenlei Leng

An important consideration for variable selection in interaction models is to design an appropriate penalty that respects hierarchy of the importance of the variables. A common the…

math.ST2015★ 4 cited

On the consistency theory of high dimensional variable screening

Xiangyu Wang, Chenlei Leng, David B. Dunson

Variable screening is a fast dimension reduction technique for assisting high dimensional feature selection. As a preselection method, it selects a moderate size subset of candidat…

math.ST2014★ 75 cited

Asymptotics in directed exponential random graph models with an increasing bi-degree sequence

Ting Yan, Chenlei Leng, Ji Zhu

Although asymptotic analyses of undirected network models based on degree sequences have started to appear in recent literature, it remains an open problem to study statistical pro…