A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
Bayesian inference and maximum entropy methods in science and engineering. . Cham: Springer. Disponível em: https://doi.org/10.1007/978-3-319-91143-4. Acesso em: 04 ago. 2024. , 2018
APA
Bayesian inference and maximum entropy methods in science and engineering. (2018). Bayesian inference and maximum entropy methods in science and engineering. Cham: Springer. doi:10.1007/978-3-319-91143-4
NLM
Bayesian inference and maximum entropy methods in science and engineering [Internet]. 2018 ;[citado 2024 ago. 04 ] Available from: https://doi.org/10.1007/978-3-319-91143-4
Vancouver
Bayesian inference and maximum entropy methods in science and engineering [Internet]. 2018 ;[citado 2024 ago. 04 ] Available from: https://doi.org/10.1007/978-3-319-91143-4
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
This book brings the contributed works of MaxEnt 2017 - 37th International Workshop on Bayesian Inference and Maximum Entropy Methods in Science and Engineering. [Prefácio]. Bayesian inference and maximum entropy methods in science and engineering. Cham: Springer. Disponível em: https://repositorio.usp.br/directbitstream/906af228-c922-40b8-a852-f2f333f8dbd7/2894124.pdf. Acesso em: 04 ago. 2024. , 2018
APA
This book brings the contributed works of MaxEnt 2017 - 37th International Workshop on Bayesian Inference and Maximum Entropy Methods in Science and Engineering. [Prefácio]. (2018). This book brings the contributed works of MaxEnt 2017 - 37th International Workshop on Bayesian Inference and Maximum Entropy Methods in Science and Engineering. [Prefácio]. Bayesian inference and maximum entropy methods in science and engineering. Cham: Springer. Recuperado de https://repositorio.usp.br/directbitstream/906af228-c922-40b8-a852-f2f333f8dbd7/2894124.pdf
NLM
This book brings the contributed works of MaxEnt 2017 - 37th International Workshop on Bayesian Inference and Maximum Entropy Methods in Science and Engineering. [Prefácio] [Internet]. Bayesian inference and maximum entropy methods in science and engineering. 2018 ;[citado 2024 ago. 04 ] Available from: https://repositorio.usp.br/directbitstream/906af228-c922-40b8-a852-f2f333f8dbd7/2894124.pdf
Vancouver
This book brings the contributed works of MaxEnt 2017 - 37th International Workshop on Bayesian Inference and Maximum Entropy Methods in Science and Engineering. [Prefácio] [Internet]. Bayesian inference and maximum entropy methods in science and engineering. 2018 ;[citado 2024 ago. 04 ] Available from: https://repositorio.usp.br/directbitstream/906af228-c922-40b8-a852-f2f333f8dbd7/2894124.pdf
Lauretto, M. de S. (2015). Interdisciplinary Bayesian statistics: EBEB 2014. Cham (ZG), Switzerland: Springer. doi:10.1007/978-3-319-12454-4
NLM
Lauretto M de S. Interdisciplinary Bayesian statistics: EBEB 2014 [Internet]. 2015 ;[citado 2024 ago. 04 ] Available from: https://doi.org/10.1007/978-3-319-12454-4
Vancouver
Lauretto M de S. Interdisciplinary Bayesian statistics: EBEB 2014 [Internet]. 2015 ;[citado 2024 ago. 04 ] Available from: https://doi.org/10.1007/978-3-319-12454-4
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
FIORUCI, José Augusto et al. Bayesian approach of the exponential poisson logarithmic model. Interdisciplinary Bayesian Statistics: EBEB 2014. Cham: Springer. Disponível em: https://doi.org/10.1007/978-3-319-12454-4_21. Acesso em: 04 ago. 2024. , 2015
APA
Fioruci, J. A., Yiqi, B., Louzada, F., & Cancho, V. G. (2015). Bayesian approach of the exponential poisson logarithmic model. Interdisciplinary Bayesian Statistics: EBEB 2014. Cham: Springer. doi:10.1007/978-3-319-12454-4_21
NLM
Fioruci JA, Yiqi B, Louzada F, Cancho VG. Bayesian approach of the exponential poisson logarithmic model [Internet]. Interdisciplinary Bayesian Statistics: EBEB 2014. 2015 ;370 .[citado 2024 ago. 04 ] Available from: https://doi.org/10.1007/978-3-319-12454-4_21
Vancouver
Fioruci JA, Yiqi B, Louzada F, Cancho VG. Bayesian approach of the exponential poisson logarithmic model [Internet]. Interdisciplinary Bayesian Statistics: EBEB 2014. 2015 ;370 .[citado 2024 ago. 04 ] Available from: https://doi.org/10.1007/978-3-319-12454-4_21
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
LOUZADA, Francisco e SUZUKI, Adriano Kamimura. A bayesian approach to predicting football match outcomes considering time effect weight. Interdisciplinary Bayesian Statistics: EBEB 2014. Cham (ZG), Switzerland: Springer. Disponível em: https://doi.org/10.1007/978-3-319-12454-4_12. Acesso em: 04 ago. 2024. , 2015
APA
Louzada, F., & Suzuki, A. K. (2015). A bayesian approach to predicting football match outcomes considering time effect weight. Interdisciplinary Bayesian Statistics: EBEB 2014. Cham (ZG), Switzerland: Springer. doi:10.1007/978-3-319-12454-4_12
NLM
Louzada F, Suzuki AK. A bayesian approach to predicting football match outcomes considering time effect weight [Internet]. Interdisciplinary Bayesian Statistics: EBEB 2014. 2015 ;[citado 2024 ago. 04 ] Available from: https://doi.org/10.1007/978-3-319-12454-4_12
Vancouver
Louzada F, Suzuki AK. A bayesian approach to predicting football match outcomes considering time effect weight [Internet]. Interdisciplinary Bayesian Statistics: EBEB 2014. 2015 ;[citado 2024 ago. 04 ] Available from: https://doi.org/10.1007/978-3-319-12454-4_12