activity
20222026
collaborators

7 papers

stat.ME2026

A Multilayer Probit Network Model for Community Detection with Dependent Edges and Layers

Dapeng Shi, Haoran Zhang, Tiandong Wang +1

Community detection in multilayer networks, which aims to identify groups of nodes exhibiting similar connectivity patterns across multiple network layers, has attracted considerab…

stat.ME2023

RKHS-based Latent Position Random Graph Correlation

Xiaoyi Wen, Junhui Wang, Liping Zhu

In this article, we consider the problem of testing whether two latent position random graphs are correlated. We propose a test statistic based on the kernel method and introduce t…

stat.ME2023

Identifiability and Consistent Estimation for Gaussian Chain Graph Models

Ruixuan Zhao, Haoran Zhang, Junhui Wang

The chain graph model admits both undirected and directed edges in one graph, where symmetric conditional dependencies are encoded via undirected edges and asymmetric causal relati…

stat.ML2022

Efficient Estimation for Longitudinal Networks via Adaptive Merging

Haoran Zhang, Junhui Wang

Longitudinal network consists of a sequence of temporal edges among multiple nodes, where the temporal edges are observed in real time. It has become ubiquitous with the rise of on…

stat.ME2022

Efficient estimation and inference for the signed -model in directed signed networks

Haoran Zhang, Junhui Wang

This paper proposes a novel signed -model for directed signed network, which is frequently encountered in application domains but largely neglected in literature. The proposed s…

cs.SI2022

Signed Network Embedding with Application to Simultaneous Detection of Communities and Anomalies

Haoran Zhang, Junhui Wang

Signed networks are frequently observed in real life with additional sign information associated with each edge, yet such information has been largely ignored in existing network m…

q-fin.ST2022

High-Frequency-Based Volatility Model with Network Structure

Huiling Yuan, Guodong Li, Junhui Wang

This paper introduces one new multivariate volatility model that can accommodate an appropriately defined network structure based on low-frequency and high-frequency data. The mode…