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Bayesiansk Tobit-modell×Tobit-modellen for sensurerte regresjonsdata×
FagfeltStatistikkØkonometri
FamilieRegression modelRegression model
Opprinnelsesår1958 (classical); 1992 (Bayesian formulation)1958
OpphavspersonJames Tobin (classical Tobit, 1958); Siddhartha Chib (Bayesian Tobit, 1992)James Tobin
TypeBayesian censored/limited-dependent-variable regressionCensored regression (limited dependent variable)
Opprinnelig kildeTobin, 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 ↗
AliasBayesian censored regression, Bayesian Type I Tobit, Bayesian truncated regression, Tobit with priorscensored regression, limited dependent variable model, Tobit Modeli (Sansürlü Regresyon)
Relaterte54
SammendragThe 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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ScholarGateSammenlign metoder: Bayesian Tobit Model · Tobit Model. Hentet 2026-06-17 fra https://scholargate.app/no/compare