Bayesian inference for the reliability of scientific co-authorship networks with emphasis on edges or co-authorship relations (2017)
- Authors:
- Autor USP: COBRE, JULIANA - ICMC
- Unidade: ICMC
- Subjects: MÉTODOS MCMC; INFERÊNCIA BAYESIANA
- Language: Inglês
- Imprenta:
- Publisher: ICMC/USP - DEs/UFSCar
- Publisher place: São Carlos
- Date published: 2017
- Source:
- Título: Abstracts
- Conference titles: Workshop on Probabilistic and Statistical Methods - WPSM
-
ABNT
OLIVEIRA, Sandra Cristina de e COBRE, Juliana e FERREIRA, Tatiane de Paula. Bayesian inference for the reliability of scientific co-authorship networks with emphasis on edges or co-authorship relations. 2017, Anais.. São Carlos: ICMC/USP - DEs/UFSCar, 2017. Disponível em: http://wpsm.icmc.usp.br/5WPSM/Program_5WPSM.pdf. Acesso em: 20 out. 2024. -
APA
Oliveira, S. C. de, Cobre, J., & Ferreira, T. de P. (2017). Bayesian inference for the reliability of scientific co-authorship networks with emphasis on edges or co-authorship relations. In Abstracts. São Carlos: ICMC/USP - DEs/UFSCar. Recuperado de http://wpsm.icmc.usp.br/5WPSM/Program_5WPSM.pdf -
NLM
Oliveira SC de, Cobre J, Ferreira T de P. Bayesian inference for the reliability of scientific co-authorship networks with emphasis on edges or co-authorship relations [Internet]. Abstracts. 2017 ;[citado 2024 out. 20 ] Available from: http://wpsm.icmc.usp.br/5WPSM/Program_5WPSM.pdf -
Vancouver
Oliveira SC de, Cobre J, Ferreira T de P. Bayesian inference for the reliability of scientific co-authorship networks with emphasis on edges or co-authorship relations [Internet]. Abstracts. 2017 ;[citado 2024 out. 20 ] Available from: http://wpsm.icmc.usp.br/5WPSM/Program_5WPSM.pdf - Factors that may lead on the non-renewal of certified organic product according to organic producers in Brazil
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