JIN, Zhumengmeng, SOSA, Juan, SONG, Shangchen und BETANCOURT, Brenda, 2025. A robust Bayesian latent position approach for community detection in networks with continuous attributes. Journal of Applied Statistics. 15 Juni 2025. Vol. 52, no. 8, p. 1513-1538. DOI 10.1080/02664763.2024.2431736.
Elsevier - Harvard (with titles)Jin, Z., Sosa, J., Song, S., Betancourt, B., 2025. A robust Bayesian latent position approach for community detection in networks with continuous attributes. Journal of Applied Statistics 52, 1513-1538. https://doi.org/10.1080/02664763.2024.2431736
American Psychological Association 7th editionJin, Z., Sosa, J., Song, S., & Betancourt, B. (2025). A robust Bayesian latent position approach for community detection in networks with continuous attributes. Journal of Applied Statistics, 52(8), 1513-1538. https://doi.org/10.1080/02664763.2024.2431736
Springer - Basic (author-date)Jin Z, Sosa J, Song S, Betancourt B (2025) A robust Bayesian latent position approach for community detection in networks with continuous attributes.. Journal of Applied Statistics 52:1513-1538. https://doi.org/10.1080/02664763.2024.2431736
Juristische Zitierweise (Stüber) (Deutsch)Jin, Zhumengmeng/ Sosa, Juan/ Song, Shangchen/ Betancourt, Brenda, A robust Bayesian latent position approach for community detection in networks with continuous attributes., Journal of Applied Statistics 2025, 1513-1538.