2 papers
stat.ME2025
Model-based Clustering for Network Data via a Latent Shrinkage Position Cluster Model
Xian Yao Gwee, Isobel Claire Gormley, Michael Fop
Low-dimensional representation and clustering of network data are tasks of great interest across various fields. Latent position models are routinely used for this purpose by assum…
stat.ME2024
Variational Inference for the Latent Shrinkage Position Model
Xian Yao Gwee, Isobel Claire Gormley, Michael Fop
The latent position model (LPM) is a popular method used in network data analysis where nodes are assumed to be positioned in a -dimensional latent space. The latent shrinkage p…