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Modelo Tobit Bayesiano×Modelo de Regressão Censurada de Tobit×
ÁreaEstatísticaEconometria
FamíliaRegression modelRegression model
Ano de origem1958 (classical); 1992 (Bayesian formulation)1958
Autor originalJames Tobin (classical Tobit, 1958); Siddhartha Chib (Bayesian Tobit, 1992)James Tobin
TipoBayesian censored/limited-dependent-variable regressionCensored regression (limited dependent variable)
Fonte seminalTobin, J. (1958). Estimation of relationships for limited dependent variables. Econometrica, 26(1), 24–36. DOI ↗Tobin, J. (1958). Estimation of Relationships for Limited Dependent Variables. Econometrica, 26(1), 24-36. DOI ↗
Outros nomesBayesian censored regression, Bayesian Type I Tobit, Bayesian truncated regression, Tobit with priorscensored regression, limited dependent variable model, Tobit Modeli (Sansürlü Regresyon)
Relacionados54
ResumoThe Bayesian Tobit model extends Tobin's censored regression framework by replacing maximum-likelihood point estimates with a full posterior distribution over regression coefficients and error variance. By embedding Gibbs sampling with data augmentation, it produces credible intervals, handles small censored samples gracefully, and naturally incorporates prior knowledge about effect sizes.The Tobit model is a regression for outcomes that are censored at a threshold, estimating the relationship by maximum likelihood. Introduced by James Tobin in 1958, it addresses the pile-up of observations at a limit (typically zero) in data such as spending, wages, or duration.
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ScholarGateComparar métodos: Bayesian Tobit Model · Tobit Model. Recuperado em 2026-06-17 de https://scholargate.app/pt/compare