Intentional sampling by goal optimization with decoupling by stochastic perturbation: why (not) to randomize? (2016)
- Autores:
- Autores USP: STERN, JULIO MICHAEL - IME ; LAURETTO, MARCELO DE SOUZA - EACH ; NAKANO, FÁBIO - EACH ; PEREIRA, CARLOS ALBERTO DE BRAGANCA - IME
- Unidades: IME; EACH
- Assuntos: ESTATÍSTICA DE PROCESSOS ESTOCÁSTICOS; ESTATÍSTICA APLICADA
- Idioma: Inglês
- Imprenta:
- Editora: Associação Brasileira de Estatística - ABE
- Local: São Paulo
- Data de publicação: 2016
- Fonte:
- Título do periódico: Book of abstracts
- Volume/Número/Paginação/Ano: p. 17-18
- Nome do evento: Latin American Conference on Statistical Computing - LACSC
-
ABNT
STERN, Julio Michael et al. Intentional sampling by goal optimization with decoupling by stochastic perturbation: why (not) to randomize? 2016, Anais.. São Paulo: Associação Brasileira de Estatística - ABE, 2016. p. 17-18. Disponível em: https://www.ime.usp.br/~lsanchez/lacsc2016/bookabstracts_complete.pdf. Acesso em: 25 abr. 2024. -
APA
Stern, J. M., Lauretto, M. de S., Nakano, F., & Pereira, C. A. de B. (2016). Intentional sampling by goal optimization with decoupling by stochastic perturbation: why (not) to randomize? In Book of abstracts (p. 17-18). São Paulo: Associação Brasileira de Estatística - ABE. Recuperado de https://www.ime.usp.br/~lsanchez/lacsc2016/bookabstracts_complete.pdf -
NLM
Stern JM, Lauretto M de S, Nakano F, Pereira CA de B. Intentional sampling by goal optimization with decoupling by stochastic perturbation: why (not) to randomize? [Internet]. Book of abstracts. 2016 ; 17-18.[citado 2024 abr. 25 ] Available from: https://www.ime.usp.br/~lsanchez/lacsc2016/bookabstracts_complete.pdf -
Vancouver
Stern JM, Lauretto M de S, Nakano F, Pereira CA de B. Intentional sampling by goal optimization with decoupling by stochastic perturbation: why (not) to randomize? [Internet]. Book of abstracts. 2016 ; 17-18.[citado 2024 abr. 25 ] Available from: https://www.ime.usp.br/~lsanchez/lacsc2016/bookabstracts_complete.pdf - Hierarchical forecasting with polynomial nets
- Intentional sampling by goal optimization with decoupling by stochastic perturbation
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- A model for defined benefit plans
- Hierarchical forecasting with functional trees
- Genuine Bayesian multiallelic significance test for the Hardy-Weinberg equilibrium law
- A new media optimizer based on the mean-variance model
- A straightforward multiallelic significance test for the Hardy-Weinberg equilibrium law
- Dedication of this volume to prof. Carlos Alberto de Bragança Pereira
- Preface: XI Brazilian Meeting on Bayesian Statistics
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