BibTeX record journals/ijdsa/MaedaS22

download as .bib file

@article{DBLP:journals/ijdsa/MaedaS22,
  author       = {Takashi Nicholas Maeda and
                  Shohei Shimizu},
  title        = {Repetitive causal discovery of linear non-Gaussian acyclic models
                  in the presence of latent confounders},
  journal      = {Int. J. Data Sci. Anal.},
  volume       = {13},
  number       = {2},
  pages        = {77--89},
  year         = {2022},
  url          = {https://doi.org/10.1007/s41060-021-00282-0},
  doi          = {10.1007/S41060-021-00282-0},
  timestamp    = {Fri, 01 Apr 2022 11:23:30 +0200},
  biburl       = {https://dblp.org/rec/journals/ijdsa/MaedaS22.bib},
  bibsource    = {dblp computer science bibliography, https://dblp.org}
}
a service of  Schloss Dagstuhl - Leibniz Center for Informatics

manage site settings

To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.