Author

Dan-Yang Huang

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Preprint Oct 2026

Linear regression with probabilistic networks for network-linked data

Network-linked data combine a network with covariates and responses observed for its nodes. Common regression approaches either model dependence among neighboring responses using the observed network or capture similarities associated with network structure without explicitly modeling response dependence. We propose a...

Jing-Nan Zhang, S. Ye, Dan-Yang Huang · 0 citations

Preprint Oct 2026

Quantile Social Autoregressive Model

Research on modelling peer effects has predominantly relied on linear-in-means models. However, averaging peer responses prevents these models from capturing the effects of extreme peer behavior. To address this limitation, we propose a quantile social autoregressive model based on a novel quantile social norm, which u...

Li-Yuan Wang, Dan-Yang Huang, Wei Lan et al. · 0 citations

Preprint Sep 2026

Popularity Regression-Based Latent Space Model for Large-Scale Sparse Network Analysis

Degree heterogeneity is one of the most important properties of network data. It is widely observed that degree heterogeneity is often related to the nodal features. In this study, we investigate the estimation and statistical inference for a popularity regression-based latent space model with nodal features. Given the...

Zhang-Hui Gao, Dan-Yang Huang, Rui Pan et al. · 0 citations