4 papers
A Zero-Inflated Poisson Latent Position Cluster Model
Chaoyi Lu, Riccardo Rastelli, Nial Friel
The latent position network model (LPM) is a popular approach for the statistical analysis of network data. A central aspect of this model is that it assigns nodes to random positi…
Bayesian Strategies for Repulsive Spatial Point Processes
Chaoyi Lu, Nial Friel
There is increasing interest to develop Bayesian inferential algorithms for point process models with intractable likelihoods. A purpose of this paper is to illustrate the utility…
Mixed Latent Position Cluster Models for Networks
Chaoyi Lu, Riccardo Rastelli
Over the last two decades, the Latent Position Model (LPM) has become a prominent tool to obtain model-based visualizations of networks. However, the geometric structure of the LPM…
Zero-inflated stochastic block modeling of efficiency-security tradeoffs in weighted criminal networks
Chaoyi Lu, Daniele Durante, Nial Friel
Criminal networks arise from the unique attempt to balance a need of establishing frequent ties among affiliates to facilitate the coordination of illegal activities, with the nece…