3 papers
stat.ME2026
Efficient Topic Model Estimation under Heavy-Tailed Document Lengths
Daniel Cirkovic, Tiandong Wang
Early inquiries into the statistical properties of natural language found that words tend to occur with power-law frequencies. This observation, closely associated with Zipf's law,…
math.ST2024
On tail inference in scale-free inhomogeneous random graphs
Daniel Cirkovic, Tiandong Wang, Daren B. H. Cline
Both empirical and theoretical investigations of scale-free network models have found that large degrees in a network exert an outsized impact on its structure. However, the tools…
stat.ME2024
Likelihood-based Inference for Random Networks with Changepoints
Daniel Cirkovic, Tiandong Wang, Xianyang Zhang
Generative, temporal network models play an important role in analyzing the dependence structure and evolution patterns of complex networks. Due to the complicated nature of real n…