3 papers
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
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…
cs.CL2026
The Truncation Blind Spot: How Decoding Strategies Systematically Exclude Human-Like Token Choices
Esteban Garces Arias, Nurzhan Sapargali, Christian Heumann +1
Why does machine-generated text remain detectable? We trace the answer to the decoding stage: standard strategies such as top- and nucleus sampling restrict generation to high-p…