Fonte: Journal of Complex Networks. Unidade: IME
Assuntos: SELEÇÃO DE MODELOS, ESPECTROS, OPERADORES, TEORIA DOS GRAFOS, GRAFOS ALEATÓRIOS, INFERÊNCIA PARAMÉTRICA
ABNT
GUZMAN, Grover Enrique Castro e FUJITA, André. Statistical methods for hypergraphs: a parameter estimator, a model selection, and a comparative test. Journal of Complex Networks, v. 13, n. 4, p. 1-16, 2025Tradução . . Disponível em: https://doi.org/10.1093/comnet/cnaf019. Acesso em: 08 out. 2025.APA
Guzman, G. E. C., & Fujita, A. (2025). Statistical methods for hypergraphs: a parameter estimator, a model selection, and a comparative test. Journal of Complex Networks, 13( 4), 1-16. doi:10.1093/comnet/cnaf019NLM
Guzman GEC, Fujita A. Statistical methods for hypergraphs: a parameter estimator, a model selection, and a comparative test [Internet]. Journal of Complex Networks. 2025 ; 13( 4): 1-16.[citado 2025 out. 08 ] Available from: https://doi.org/10.1093/comnet/cnaf019Vancouver
Guzman GEC, Fujita A. Statistical methods for hypergraphs: a parameter estimator, a model selection, and a comparative test [Internet]. Journal of Complex Networks. 2025 ; 13( 4): 1-16.[citado 2025 out. 08 ] Available from: https://doi.org/10.1093/comnet/cnaf019