Markov models for digraph panel data: Monte Carlo-based derivative estimation. - Michael Schweinberger; Tom A. B. Snijders (Comput. Stat. Data Anal., 2007)

Assessing and accounting for time heterogeneity in stochastic actor oriented models. - Joshua A. Lospinoso; Michael Schweinberger; Tom A. B. Snijders; Ruth M. Ripley (Adv. Data Anal. Classif., 2011)

Model-Based Clustering of Large Networks - Duy Quang Vu; David R. Hunter; Michael Schweinberger (CoRR, 2012)

Disaster response on September 11, 2001 through the lens of statistical network analysis. - Michael Schweinberger; Miruna Petrescu-Prahova; Duy Quang Vu (Soc. Networks, 2014)

A Two-Stage Working Model Strategy for Network Analysis Under Hierarchical Exponential Random Graph Models. - Ming Cao 005; Yong Chen 016; Kayo Fujimoto; Michael Schweinberger (ASONAM, 2018)

Multilevel network data facilitate statistical inference for curved ERGMs with geometrically weighted terms. - Jonathan R. Stewart; Michael Schweinberger; Michal Bojanowski; Martina Morris (Soc. Networks, 2019)

Large-scale estimation of random graph models with local dependence. - Sergii Babkin; Jonathan R. Stewart; Xiaochen Long; Michael Schweinberger (Comput. Stat. Data Anal., 2020)

Bayesian model selection for high-dimensional Ising models, with applications to educational data. - Jaewoo Park; Ick-Hoon Jin; Michael Schweinberger (Comput. Stat. Data Anal., 2022)

A Strategic Model of Software Dependency Networks. - Cornelius Fritz; Co-Pierre Georg; Angelo Mele; Michael Schweinberger (EC, 2024)