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

Caterina De Bacco et al. (2021)

> Home

Details and statistics

DOI: —

access: open

type: Informal or Other Publication

metadata version: 2022-08-24

- view
  - electronic edition @ arxiv.org (open access)
- export record
  dblp key:
  - journals/corr/abs-2112-11396
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/journals/corr/abs-2112-11396
Caterina De Bacco, Martina Contisciani, Jonathan Cardoso-Silva, Hadiseh Safdari, Diego Baptista, Tracy M. Sweet, Jean-Gabriel Young, Jeremy M. Koster, Cody T. Ross, Richard McElreath, Daniel Redhead, Eleanor A. Power:
Latent Network Models to Account for Noisy, Multiply-Reported Social Network Data. CoRR abs/2112.11396 (2021)

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.