Latent Network Models to Account for Noisy, Multiply-Reported Social Network Data.
2023
Article
pio
| 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 |
| Department(s): | Physics for Inference and Optimization |
| Bibtex Type: | Article (article) |
| Paper Type: | Journal |
| DOI: | 10.1093/jrsssa/qnac004 |
| State: | Published |
| URL: | https://doi.org/10.1093/jrsssa/qnac004 |
| Links: |
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BibTex @article{vimure,
title = {Latent Network Models to Account for Noisy, Multiply-Reported Social Network Data.},
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},
journal = {Journal of the Royal Statistical Society: Series A},
volume = {186},
number = {3},
pages = {355--375},
month = jul,
year = {2023},
doi = {10.1093/jrsssa/qnac004},
url = {https://doi.org/10.1093/jrsssa/qnac004},
month_numeric = {7}
}
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