References in zbMATH (referenced in 54 articles , 1 standard article )

Showing results 1 to 20 of 54.
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  1. Beaudry, Isabelle S.; Gile, Krista J.: Correcting for differential recruitment in respondent-driven sampling data using ego-network information (2020)
  2. Elmasri, Mohamad; Farrell, Maxwell J.; Davies, T. Jonathan; Stephens, David A.: A hierarchical Bayesian model for predicting ecological interactions using scaled evolutionary relationships (2020)
  3. Henry, Teague R.; Gates, Kathleen M.; Prinstein, Mitchell J.; Steinley, Douglas: Modeling heterogeneous peer assortment effects using finite mixture exponential random graph models (2020)
  4. J. Antonio Rivero Ostoic: Algebraic Analysis of Multiple Social Networks with multiplex (2020) not zbMATH
  5. Lee, Kevin H.; Xue, Lingzhou; Hunter, David R.: Model-based clustering of time-evolving networks through temporal exponential-family random graph models (2020)
  6. Bauer, Verena; Fürlinger, Karl; Kauermann, Göran: A note on parallel sampling in Markov graphs (2019)
  7. Krampe, Jonas: Time series modeling on dynamic networks (2019)
  8. Chris Groendyke; David Welch: epinet: An R Package to Analyze Epidemics Spread across Contact Networks (2018) not zbMATH
  9. 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)
  10. Kim, Bomin; Lee, Kevin H.; Xue, Lingzhou; Niu, Xiaoyue: A review of dynamic network models with latent variables (2018)
  11. McLaughlin, Katherine R.; EmBree, Joshua D.: Empirical assessment of programs to promote collaboration: a network model approach (2018)
  12. Michael Schweinberger; Pamela Luna: hergm: Hierarchical Exponential-Family Random Graph Models (2018) not zbMATH
  13. Nath, Madhurima; Ren, Yihui; Khorramzadeh, Yasamin; Eubank, Stephen: Determining whether a class of random graphs is consistent with an observed contact network (2018)
  14. Philip Leifeld; Skyler Cranmer; Bruce Desmarais: Temporal Exponential Random Graph Models with btergm: Estimation and Bootstrap Confidence Intervals (2018) not zbMATH
  15. Samuel Jenness; Steven Goodreau; Martina Morris: EpiModel: An R Package for Mathematical Modeling of Infectious Disease over Networks (2018) not zbMATH
  16. Krivitsky, Pavel N.: Using contrastive divergence to seed Monte Carlo MLE for exponential-family random graph models (2017)
  17. Butts, Carter T.: On the equivalence of the edge/isolate and edge/concurrent tie ERGM families, and their extensions (2016)
  18. Byshkin, Maksym; Stivala, Alex; Mira, Antonietta; Krause, Rolf; Robins, Garry; Lomi, Alessandro: Auxiliary parameter MCMC for exponential random graph models (2016)
  19. Xiong, Hanchen; Szedmak, Sandor; Piater, Justus: Learning undirected graphical models using persistent sequential Monte Carlo (2016)
  20. Caimo, Alberto; Mira, Antonietta: Efficient computational strategies for doubly intractable problems with applications to Bayesian social networks (2015)

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