Choosing between two polytomous IRT models using no-U-turn Hamiltonian Monte Carlo with application to the study of depression (2017)
- Authors:
- Autor USP: GUZMÁN, JORGE LUIS BAZÁN - ICMC
- Unidade: ICMC
- Subjects: ESTATÍSTICA; ESTATÍSTICA APLICADA; INFERÊNCIA BAYESIANA; INFERÊNCIA ESTATÍSTICA
- Language: Inglês
- Imprenta:
- Publisher: Associação Brasileira de Estatística - ABE
- Publisher place: São Paulo, SP
- Date published: 2017
- Source:
- Título: Abstracts 5th WSPM
- Volume/Número/Paginação/Ano: p. 19, 2017
- Conference titles: Workshop on Probabilistic and Statistical Methods - WPSM
-
ABNT
SILVA, Marcelo A. da e BAZÁN GUZMÁN, Jorge Luis. Choosing between two polytomous IRT models using no-U-turn Hamiltonian Monte Carlo with application to the study of depression. 2017, Anais.. São Paulo, SP: Associação Brasileira de Estatística - ABE, 2017. p. 19. . Acesso em: 23 mar. 2026. -
APA
Silva, M. A. da, & Bazán Guzmán, J. L. (2017). Choosing between two polytomous IRT models using no-U-turn Hamiltonian Monte Carlo with application to the study of depression. In Abstracts 5th WSPM (p. 19). São Paulo, SP: Associação Brasileira de Estatística - ABE. -
NLM
Silva MA da, Bazán Guzmán JL. Choosing between two polytomous IRT models using no-U-turn Hamiltonian Monte Carlo with application to the study of depression. Abstracts 5th WSPM. 2017 ; 19.[citado 2026 mar. 23 ] -
Vancouver
Silva MA da, Bazán Guzmán JL. Choosing between two polytomous IRT models using no-U-turn Hamiltonian Monte Carlo with application to the study of depression. Abstracts 5th WSPM. 2017 ; 19.[citado 2026 mar. 23 ] - L-logistic regression models: prior sensitivity analysis, robustness to outliers and applications
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