2 papers
cs.SI2025
Information is localized in growing network models
Till Hoffmann, Jukka-Pekka Onnela
Mechanistic network models can capture salient characteristics of empirical networks using a small set of domain-specific, interpretable mechanisms. Yet inference remains challengi…
stat.ME2025
Unifying Summary Statistic Selection for Approximate Bayesian Computation
Till Hoffmann, Jukka-Pekka Onnela
Extracting low-dimensional summary statistics from large datasets is essential for efficient (likelihood-free) inference. We characterize three different classes of summaries and d…