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This book brings the contributed works of MaxEnt 2017 - 37th International Workshop on Bayesian Inference and Maximum Entropy Methods in Science and Engineering. [Prefácio]
This book brings the contributed works of MaxEnt 2017 - 37th International Workshop on Bayesian Inference and Maximum Entropy Methods in Science and Engineering. [Prefácio]
Material Type:
Livro 		Adicionar ao Meu Espaço

This book brings the contributed works of MaxEnt 2017 - 37th International Workshop on Bayesian Inference and Maximum Entropy Methods in Science and Engineering. [Prefácio]

Adriano Polpo Julio Michael Stern 1958-; Francisco Louzada; Rafael Izbicki; Hellinton Hatsuo Takada; International Workshop on Bayesian Inference and Maximum Entropy Methods in Science and Engineering - Maxent (37. 2017 Jarinu/SP)

Polpo, Adriano, et al (ed.) Bayesian inference and maximum entropy methods in science and engineering Cham: Springer, 2018

Cham Springer 2018

Localização: ICMC - Inst. Ciên. Mat. Computação    (PROD 2894112 ) e outros locais(Acessar)

2
Bayesian inference and maximum entropy methods in science and engineering
Bayesian inference and maximum entropy methods in science and engineering
Material Type:
Livro 		Adicionar ao Meu Espaço

Bayesian inference and maximum entropy methods in science and engineering

Marcelo de Souza Lauretto Carlos Alberto de Bragança Pereira 1946-; Julio Michael Stern 1958-; International Workshop on Bayesian Inference and Maximum Entropy Methods in Science and Engineering (28. 2008 Boracéia/SP)

Melville, NY American Institute of Physics 2008

Localização: IME - Inst. Matemática e Estatística    (QA379.C I61b 2008 )(Acessar)

3
Using entropy to forecast bitcoin’s daily conditional value at risk
Using entropy to forecast bitcoin’s daily conditional value at risk
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Artigo de Congresso 		Adicionar ao Meu Espaço

Using entropy to forecast bitcoin’s daily conditional value at risk

Hellinton Hatsuo Takada Sylvio X Azevedo; Julio Michael Stern 1958-; Celma Ribeiro 1959-; International Workshop on Bayesian Inference and Maximum Entropy Methods in Science and Engineering - MaxEnt (39. 2019 Garching/Munich)

Proceedings Basel v. 33, n. 1, p. 1-9, 2019

Basel MDPI 2019

Localização: IME - Inst. Matemática e Estatística    (PROD-2977594 )(Acessar)

4
Probabilistic equilibrium a review on the application of MAXENT to macroeconomic models
Probabilistic equilibrium a review on the application of MAXENT to macroeconomic models
Material Type:
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Probabilistic equilibrium a review on the application of MAXENT to macroeconomic models

Paulo Hubert Julio Michael Stern 1958-; International Workshop on Bayesian Inference and Maximum Entropy Methods in Science and Engineering - Maxent (37. 2017 Jarinu/SP)

Proceedings: Bayesian inference and maximum entropy methods in science and engineering Cham: Springer, 2018

Cham Springer 2018

Localização: IME - Inst. Matemática e Estatística    (PROD-2894222 )(Acessar)

5
Bayesian inference and maximum entropy methods in science and engineering
Bayesian inference and maximum entropy methods in science and engineering
Material Type:
Livro 		Adicionar ao Meu Espaço

Bayesian inference and maximum entropy methods in science and engineering

Adriano Polpo Julio Michael Stern 1958-; Francisco Louzada; Rafael Izbicki; Hellinton Hatsuo Takada; International Workshop on Bayesian Inference and Maximum Entropy Methods in Science and Engineering - Maxent (37. 2017 Jarinu/SP)

Cham Springer 2018

Localização: ICMC - Inst. Ciên. Mat. Computação    (PROD 2894112 ) e outros locais(Acessar)

6
A sequential algorithm for signal segmentation
A sequential algorithm for signal segmentation
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A sequential algorithm for signal segmentation

Paulo do Canto Hubert Junior Linilson Rodrigues Padovese 1960-; Julio Michael Stern 1958-; International Workshop on Bayesian Inference and Maximum Entropy Methods in Science and Engineering - MaxEnt 2017 (37. 2017 Jarinu, SP)

Entropy Basel v. 20, n. 1, p. 1-20, 2018

Basel MDPI 2018

Localização: IME - Inst. Matemática e Estatística    (PROD-2874654 )(Acessar)

7
Affinity structure in reaction networks minimum entropy or power dissipation
Affinity structure in reaction networks minimum entropy or power dissipation
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Affinity structure in reaction networks minimum entropy or power dissipation

Julio Michael Stern 1958- Fábio Nakano; Brazilian Meeting on Bayesian Statistics - EBEB 2014 (12. 2014 Atibaia, SP)

Program and abstract [s.l.]: ISBrA, 2014

s.l. ISBrA 2014

Acesso online. A biblioteca também possui exemplares impressos.

8
Classical-equivalent Bayesian portfolio optimization for electricity generation planning
Classical-equivalent Bayesian portfolio optimization for electricity generation planning
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Classical-equivalent Bayesian portfolio optimization for electricity generation planning

Hellinton Hatsuo Takada Julio Michael Stern 1958-; Oswaldo Luiz do Valle Costa 1959-; Celma Ribeiro 1959-; International Workshop on Bayesian Inference and Maximum Entropy Methods in Science and Engineering - MaxEnt 2017 (37. 2017 Jarinu, SP)

Entropy Basel : MDPI v. 20, n. 1, p. 1-12, 2018

Basel MDPI 2018

Localização: IME - Inst. Matemática e Estatística    (PROD-2869042 )(Acessar)

9
Intraday trading volume and non-negative matrix factorization
Intraday trading volume and non-negative matrix factorization
Material Type:
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Intraday trading volume and non-negative matrix factorization

Hellinton Hatsuo Takada Julio Michael Stern 1958-; International Workshop on Bayesian Inference and Maximum Entropy Methods in Science and Engineering - MaxEnt (35. 2015 Potsdam, NY)

Proceedings Melville: AIP, 2016

Melville AIP 2016

Localização: IME - Inst. Matemática e Estatística    (PROD-2770493 )(Acessar)

10
Auditable blockchain randomization tool
Auditable blockchain randomization tool
Material Type:
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Auditable blockchain randomization tool

Olívia Terence Saa Julio Michael Stern 1958-; International Workshop on Bayesian Inference and Maximum Entropy Methods in Science and Engineering - MaxEnt (39. 2019 Garching/Munich)

Proceedings Basel v. 33, n. 1, p. 1-6, 2019

Basel MDPI 2019

Localização: IME - Inst. Matemática e Estatística    (PROD-2977611 )(Acessar)

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