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)
- Authors:
- USP affiliated authors: STERN, JULIO MICHAEL - IME ; LOUZADA NETO, FRANCISCO - ICMC
- Unidades: IME; ICMC
- Subjects: INFERÊNCIA BAYESIANA; PRINCÍPIO DO MÁXIMO
- Language: Inglês
- Imprenta:
- Source:
- Título do periódico: Bayesian inference and maximum entropy methods in science and engineering
- Conference titles: International Workshop on Bayesian Inference and Maximum Entropy Methods in Science and Engineering - Maxent
-
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: 24 abr. 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 abr. 24 ] 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 abr. 24 ] Available from: https://repositorio.usp.br/directbitstream/906af228-c922-40b8-a852-f2f333f8dbd7/2894124.pdf - Bayesian inference and maximum entropy methods in science and engineering
- Interdisciplinary Bayesian statistics: EBEB 2014
- Active set methods for problems in column block angular form
- Cognitive-constructivism, Quine, dogmas of empiricism, and Münchhausen’s trilemma
- Application of Bayesian analysis to estimation of parametric distributions of complex survey data under informative sampling
- Intraday trading volume and non-negative matrix factorization
- Sequential estimation of ratios, with application to Bayesian analysis
- Testing the independence of Poisson variates under the Holgate bivariate distribution: the power of a new evidence test
- Continuous versions of Haack’s puzzles: equilibria, eigen-states and ontologies
- Haphazard intentional sampling techniques in network design of monitoring stations
Download do texto completo
| Tipo | Nome | Link | |
|---|---|---|---|
 | 2894124.pdf |
How to cite
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
