Reinforced-count simulation for decision calibration under over-dispersed multi-type service demand

Saisai Hou, Yunzhi Zhu, Sen Zhang, Ying Chen

Open source

DOI: 10.1371/journal.pone.0358767
Published: 2026-09-18
Container: PLOS One
Publisher: Public Library of Science (PLoS)
Open access: unknown

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Cite this work

BibTeX

@article{allodium:10.1371/journal.pone.0358767,
  title = {Reinforced-count simulation for decision calibration under over-dispersed multi-type service demand},
  author = {Saisai Hou and Yunzhi Zhu and Sen Zhang and Ying Chen},
  year = {2026},
  journal = {PLOS One},
  doi = {10.1371/journal.pone.0358767},
  url = {https://doi.org/10.1371/journal.pone.0358767}
}

RIS

TY  - JOUR
TI  - Reinforced-count simulation for decision calibration under over-dispersed multi-type service demand
AU  - Saisai Hou
AU  - Yunzhi Zhu
AU  - Sen Zhang
AU  - Ying Chen
PY  - 2026
JO  - PLOS One
DO  - 10.1371/journal.pone.0358767
UR  - https://doi.org/10.1371/journal.pone.0358767
ER  -

APA

Hou, S., Zhu, Y., Zhang, S., & Chen, Y. (2026). Reinforced-count simulation for decision calibration under over-dispersed multi-type service demand. PLOS One. https://doi.org/10.1371/journal.pone.0358767

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crossref · retrieved 2026-09-25T09:27:37.697Z