Building complex networks through classical and Bayesian statistics: a comparison (2012)
- Authors:
- USP affiliated authors: IAMBARTSEV, ANATOLI - IME ; FOSSALUZA, VICTOR - IME
- Unidade: IME
- DOI: 10.1063/1.4759617
- Assunto: INFERÊNCIA BAYESIANA
- Language: Inglês
- Imprenta:
- Publisher: AIP
- Publisher place: Melville, NY
- Date published: 2012
- Source:
- Título: AIP Conference Proceedings
- Volume/Número/Paginação/Ano: v. 1490, n. 1, p. 323-331, 2012
- Conference titles: Brazilian Meeting On Bayesian Statistics - EBEB
- Este periódico é de acesso aberto
- Este artigo NÃO é de acesso aberto
-
ABNT
THOMAS, Lina Dornelas e FOSSALUZA, Victor e YAMBARTSEV, Anatoli. Building complex networks through classical and Bayesian statistics: a comparison. AIP Conference Proceedings. Melville, NY: AIP. Disponível em: https://doi.org/10.1063/1.4759617. Acesso em: 18 fev. 2026. , 2012 -
APA
Thomas, L. D., Fossaluza, V., & Yambartsev, A. (2012). Building complex networks through classical and Bayesian statistics: a comparison. AIP Conference Proceedings. Melville, NY: AIP. doi:10.1063/1.4759617 -
NLM
Thomas LD, Fossaluza V, Yambartsev A. Building complex networks through classical and Bayesian statistics: a comparison [Internet]. AIP Conference Proceedings. 2012 ; 1490( 1): 323-331.[citado 2026 fev. 18 ] Available from: https://doi.org/10.1063/1.4759617 -
Vancouver
Thomas LD, Fossaluza V, Yambartsev A. Building complex networks through classical and Bayesian statistics: a comparison [Internet]. AIP Conference Proceedings. 2012 ; 1490( 1): 323-331.[citado 2026 fev. 18 ] Available from: https://doi.org/10.1063/1.4759617 - Differentially correlated genes in co-expression networks control phenotype transitions
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Informações sobre o DOI: 10.1063/1.4759617 (Fonte: oaDOI API)
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