References in zbMATH (referenced in 51 articles , 1 standard article )

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  1. Elmasri, Mohamad; Farrell, Maxwell J.; Davies, T. Jonathan; Stephens, David A.: A hierarchical Bayesian model for predicting ecological interactions using scaled evolutionary relationships (2020)
  2. J. Antonio Rivero Ostoic: Algebraic Analysis of Multiple Social Networks with multiplex (2020) not zbMATH
  3. Lee, Kevin H.; Xue, Lingzhou; Hunter, David R.: Model-based clustering of time-evolving networks through temporal exponential-family random graph models (2020)
  4. Bauer, Verena; Fürlinger, Karl; Kauermann, Göran: A note on parallel sampling in Markov graphs (2019)
  5. Krampe, Jonas: Time series modeling on dynamic networks (2019)
  6. Chris Groendyke; David Welch: epinet: An R Package to Analyze Epidemics Spread across Contact Networks (2018) not zbMATH
  7. Griffin, Maryclare; Gile, Krista J.; Fredricksen-Goldsen, Karen I.; Handcock, Mark S.; Erosheva, Elena A.: A simulation-based framework for assessing the feasibility of respondent-driven sampling for estimating characteristics in populations of lesbian, gay and bisexual older adults (2018)
  8. Kim, Bomin; Lee, Kevin H.; Xue, Lingzhou; Niu, Xiaoyue: A review of dynamic network models with latent variables (2018)
  9. McLaughlin, Katherine R.; EmBree, Joshua D.: Empirical assessment of programs to promote collaboration: a network model approach (2018)
  10. Michael Schweinberger; Pamela Luna: hergm: Hierarchical Exponential-Family Random Graph Models (2018) not zbMATH
  11. Nath, Madhurima; Ren, Yihui; Khorramzadeh, Yasamin; Eubank, Stephen: Determining whether a class of random graphs is consistent with an observed contact network (2018)
  12. Philip Leifeld; Skyler Cranmer; Bruce Desmarais: Temporal Exponential Random Graph Models with btergm: Estimation and Bootstrap Confidence Intervals (2018) not zbMATH
  13. Samuel Jenness; Steven Goodreau; Martina Morris: EpiModel: An R Package for Mathematical Modeling of Infectious Disease over Networks (2018) not zbMATH
  14. Krivitsky, Pavel N.: Using contrastive divergence to seed Monte Carlo MLE for exponential-family random graph models (2017)
  15. Butts, Carter T.: On the equivalence of the edge/isolate and edge/concurrent tie ERGM families, and their extensions (2016)
  16. Byshkin, Maksym; Stivala, Alex; Mira, Antonietta; Krause, Rolf; Robins, Garry; Lomi, Alessandro: Auxiliary parameter MCMC for exponential random graph models (2016)
  17. Xiong, Hanchen; Szedmak, Sandor; Piater, Justus: Learning undirected graphical models using persistent sequential Monte Carlo (2016)
  18. Caimo, Alberto; Mira, Antonietta: Efficient computational strategies for doubly intractable problems with applications to Bayesian social networks (2015)
  19. Krivitsky, Pavel N.; Kolaczyk, Eric D.: On the question of effective sample size in network modeling: an asymptotic inquiry (2015)
  20. Ömer Yaveroğlu; Sean Fitzhugh; Maciej Kurant; Athina Markopoulou; Carter Butts; Nataša Pržulj: ergm.graphlets: A Package for ERG Modeling Based on Graphlet Statistics (2015) not zbMATH

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