Robustly estimating the marginal likelihood for cognitive models via importance sampling.

Tran, M-N; Scharth, M; Gunawan, D; Kohn, R; Brown, S D; Hawkins, G E

Tran, M-N; Scharth, M; Gunawan, D; Kohn, R; Brown, S D; Hawkins, G E.

Afiliação

Tran MN; The University of Sydney Business School, Sydney, Australia.
Scharth M; The University of Sydney Business School, Sydney, Australia.
Gunawan D; School of Mathematics and Statistics, University of Wollongong, Wollongong, Australia.
Kohn R; UNSW Business School, University of New South Wales, Kensington, Australia.
Brown SD; School of Psychology, University of Newcastle, Callaghan, Australia.
Hawkins GE; School of Psychology, University of Newcastle, Callaghan, Australia. guy.e.hawkins@gmail.com.

Behav Res Methods ; 53(3): 1148-1165, 2021 06.

Article em En | MEDLINE | ID: mdl-33001382

Assuntos

Cognição; Teorema de Bayes; Humanos; Funções Verossimilhança; Cadeias de Markov; Método de Monte Carlo

Palavras-chave

Bayesian inference; Hierarchical LBA model; Model selection; Parallel computation; Standard error; Unbiased likelihood estimate

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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Cognição Idioma: En Ano de publicação: 2021 Tipo de documento: Article

Texto completo

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PubMed Links

Buscar no Google

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Cognição Idioma: En Ano de publicação: 2021 Tipo de documento: Article