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Bayesian Tobit Model/Evidence
Method evidence record

Bayesian Tobit Model

The 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.

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Source record

Citations copied verbatim from the method’s source record. No claim-level verification is inferred from them.

Bayesian Tobit Model
Taxonomic method record · regression-model / statistics
  • Tobin, J. (1958). Estimation of relationships for limited dependent variables. Econometrica, 26(1), 24–36. · DOI 10.2307/1907382
  • Chib, S. (1992). Bayes inference in the Tobit censored regression model. Journal of Econometrics, 51(1–2), 79–99. · DOI 10.1016/0304-4076(92)90030-U
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Related methods

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Taxonomic bucketBayesian Generalized Linear Modelmachine-suggested · Relational suggestion, not evidence.Taxonomic bucketBayesian Multiple linear regressionmachine-suggested · Relational suggestion, not evidence.Taxonomic bucketBayesian Probit modelmachine-suggested · Relational suggestion, not evidence.Same method familyTobit Modelmachine-suggested · Relational suggestion, not evidence.Taxonomic bucketZero-inflated modelmachine-suggested · Relational suggestion, not evidence.

Evidence status

Sources recorded, not reviewed

Bibliographic sources are present. Claim-level evidence review has not been performed.

Sources

2 recorded citations, copied from the method source record.

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