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stat.ME2026
Exact Likelihood Inference for Snowball-Sampled Erdős-Rényi Networks
Nurzhan Sapargali, Sergio Buttazzo, G\''oran Kauermann
Network data obtained through link-tracing designs, such as snowball sampling, are collected through a mechanism that depends on the very structure the analysis seeks to estimate.…
stat.ME2026
Maximum Likelihood Estimation for Network Models with Latent Geometry under Snowball Sampling
Nurzhan Sapargali, Sergio Buttazzo, Göran Kauermann +1
Snowball sampling is a widely used design for collecting network data from large or hard-to-reach populations, yet naive inference that ignores the sampling mechanism produces syst…
stat.ME2024
Using LASSO for Variable Selection in Exponential Random Graph models
Sergio Buttazzo, Göran Kauermann
The paper demonstrates the use of LASSO-based estimation in network models. Taking the Exponential Random Graph Model (ERGM) as a flexible and widely used model for network data an…