Probabilistic Temporal Networks with Ordinary Distributions: Theory, Robustness and Expected Utility. Saint-Guillain, M., Vaquero, T., Chien, S. A., Agrawal, J., & Abrahams, J. R. J. Artif. Intell. Res., 71:1091–1136, 2021.
Probabilistic Temporal Networks with Ordinary Distributions: Theory, Robustness and Expected Utility [link]Paper  doi  bibtex   
@article{DBLP:journals/jair/Saint-GuillainV21,
  author       = {Michael Saint{-}Guillain and
                  Tiago Vaquero and
                  Steve A. Chien and
                  Jagriti Agrawal and
                  Jordan R. Abrahams},
  title        = {Probabilistic Temporal Networks with Ordinary Distributions: Theory,
                  Robustness and Expected Utility},
  journal      = {J. Artif. Intell. Res.},
  volume       = {71},
  pages        = {1091--1136},
  year         = {2021},
  url          = {https://doi.org/10.1613/jair.1.13019},
  doi          = {10.1613/JAIR.1.13019},
  timestamp    = {Sun, 02 Oct 2022 01:00:00 +0200},
  biburl       = {https://dblp.org/rec/journals/jair/Saint-GuillainV21.bib},
  bibsource    = {dblp computer science bibliography, https://dblp.org}
}

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