Exponential random graph models with big networks: Maximum pseudolikelihood estimation and the parametric bootstrap

Christian S. Schmid, Bruce A. Desmarais. Exponential random graph models with big networks: Maximum pseudolikelihood estimation and the parametric bootstrap. In Jian-Yun Nie, Zoran Obradovic, Toyotaro Suzumura, Rumi Ghosh, Raghunath Nambiar, Chonggang Wang, Hui Zang, Ricardo A. Baeza-Yates, Xiaohua Hu, Jeremy Kepner, Alfredo Cuzzocrea, Jian Tang, Masashi Toyoda, editors, 2017 IEEE International Conference on Big Data, BigData 2017, Boston, MA, USA, December 11-14, 2017. pages 116-121, IEEE, 2017. [doi]

@inproceedings{SchmidD17,
  title = {Exponential random graph models with big networks: Maximum pseudolikelihood estimation and the parametric bootstrap},
  author = {Christian S. Schmid and Bruce A. Desmarais},
  year = {2017},
  doi = {10.1109/BigData.2017.8257919},
  url = {https://doi.org/10.1109/BigData.2017.8257919},
  researchr = {https://researchr.org/publication/SchmidD17},
  cites = {0},
  citedby = {0},
  pages = {116-121},
  booktitle = {2017 IEEE International Conference on Big Data, BigData 2017, Boston, MA, USA, December 11-14, 2017},
  editor = {Jian-Yun Nie and Zoran Obradovic and Toyotaro Suzumura and Rumi Ghosh and Raghunath Nambiar and Chonggang Wang and Hui Zang and Ricardo A. Baeza-Yates and Xiaohua Hu and Jeremy Kepner and Alfredo Cuzzocrea and Jian Tang and Masashi Toyoda},
  publisher = {IEEE},
  isbn = {978-1-5386-2715-0},
}