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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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18 papers · 1 filter

stat.ME2026

CRT*: Conditional Randomization Testing with Heterogeneous External and Unlabeled Data

Yingjie Zhang, Ziqi Chen, Chenlei Leng

The conditional randomization test (CRT) provides a principled approach to conditional independence (CI) testing, guaranteeing exact type-I error control when the true conditional…

stat.ME2024

Supervised centrality via sparse network influence regression: an application to the 2021 Henan floods' social network

Yingying Ma, Wei Lan, Chenlei Leng +2

The social characteristics of players in a social network are closely associated with their network positions and relational importance. Identifying those influential players in a…

stat.ME2023

A two-way heterogeneity model for dynamic networks

Binyan Jiang, Chenlei Leng, Ting Yan +2

Dynamic network data analysis requires joint modelling individual snapshots and time dynamics. This paper proposes a new two-way heterogeneity model towards this goal. The new mode…

stat.ME2023

Optimal Subsampling Bootstrap for Massive Data

Yingying Ma, Chenlei Leng, Hansheng Wang

The bootstrap is a widely used procedure for statistical inference because of its simplicity and attractive statistical properties. However, the vanilla version of bootstrap is no…

stat.ME2022

Testing the Graph of a Gaussian Graphical Model

Thien-Minh Le, Ping-Shou Zhong, Chenlei Leng

The Gaussian graphical model is routinely employed to model the joint distribution of multiple random variables. The graph it induces is not only useful for describing the relation…

stat.ME2021★ 1 cited

Linear Discriminant Analysis with High-dimensional Mixed Variables

Binyan Jiang, Chenlei Leng, Cheng Wang +2

Datasets containing both categorical and continuous variables are frequently encountered in many areas, and with the rapid development of modern measurement technologies, the dimen…