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stat.ME2025
Change Point Detection on A Separable Model for Dynamic Networks
Yik Lun Kei, Hangjian Li, Yanzhen Chen +1
This paper studies the unsupervised change point detection problem in time series of networks using the Separable Temporal Exponential-family Random Graph Model (STERGM). Inherentl…
stat.ME2025
A causal fused lasso for interpretable heterogeneous treatment effects estimation
Oscar Hernan Madrid Padilla, Yanzhen Chen, Carlos Misael Madrid Padilla +1
We propose a novel method for estimating heterogeneous treatment effects based on the fused lasso. By first ordering samples based on the propensity or prognostic score, we match u…
stat.ME2025
Change Point Detection in Dynamic Graphs with Decoder-only Latent Space Model
Yik Lun Kei, Jialiang Li, Hangjian Li +2
This manuscript studies the unsupervised change point detection problem in time series of graphs using a decoder-only latent space model. The proposed framework consists of learnab…