A partial orthogonalization method for simulating covariance and concentration graph matrices. Córdoba, I., Varando, G., Bielza, C., & Larrañaga, P. In Studený, M. & Kratochvíl, V., editors, International Conference on Probabilistic Graphical Models, PGM 2018, 11-14 September 2018, Prague, Czech Republic, volume 72, of Proceedings of Machine Learning Research, pages 61–72, 2018. PMLR.
A partial orthogonalization method for simulating covariance and concentration graph matrices [link]Paper  bibtex   
@inproceedings{DBLP:conf/pgm/CordobaVBL18,
  author    = {Irene C{\'{o}}rdoba and
               Gherardo Varando and
               Concha Bielza and
               Pedro Larra{\~{n}}aga},
  editor    = {Milan Studen{\'{y}} and
               V{\'{a}}clav Kratochv{\'{\i}}l},
  title     = {A partial orthogonalization method for simulating covariance and concentration
               graph matrices},
  booktitle = {International Conference on Probabilistic Graphical Models, {PGM}
               2018, 11-14 September 2018, Prague, Czech Republic},
  series    = {Proceedings of Machine Learning Research},
  volume    = {72},
  pages     = {61--72},
  publisher = {{PMLR}},
  year      = {2018},
  url       = {http://proceedings.mlr.press/v72/cordoba18a.html},
  timestamp = {Wed, 03 Apr 2019 18:17:22 +0200},
  biburl    = {https://dblp.org/rec/conf/pgm/CordobaVBL18.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}

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