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Physics for Inference and Optimization Article 2023

Latent Network Models to Account for Noisy, Multiply-Reported Social Network Data.

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Physics for Inference and Optimization
Caterina De Bacco
Max Planck Research Group Leader
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Physics for Inference and Optimization
Martina Contisciani
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Software Workshop
Diego Baptista Theuerkauf
  • Research Engineer
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Hadiseh Safdari

Author(s): De Bacco, Caterina and Martina Contisciani and J Cardoso-Silva and Hadiseh Safdari and Diego Baptista Theuerkauf and T Sweet and JG Young and J Koster and C T Ross and R McElreath and D Redhead and E A Power
Journal: Journal of the Royal Statistical Society: Series A
Volume: 186
Number (issue): 3
Pages: 355--375
Year: 2023
Month: July
Bibtex Type: Article (article)
DOI: 10.1093/jrsssa/qnac004
State: Published
URL: https://doi.org/10.1093/jrsssa/qnac004
Electronic Archiving: grant_archive
Links:

BibTex 

@article{vimure,
  title = {Latent Network Models to Account for Noisy, Multiply-Reported Social Network Data.},
  journal = {Journal of the Royal Statistical Society: Series A},
  volume = {186},
  number = {3},
  pages = {355--375},
  month = jul,
  year = {2023},
  slug = {vimure},
  author = {De Bacco, Caterina and Contisciani, Martina and Cardoso-Silva, J and Safdari, Hadiseh and Theuerkauf, Diego Baptista and Sweet, T and Young, JG and Koster, J and Ross, C T and McElreath, R and Redhead, D and Power, E A},
  url = {https://doi.org/10.1093/jrsssa/qnac004},
  month_numeric = {7}
}