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Bayesian OLS/Evidence
Method evidence record

Bayesian OLS

Bayesian OLS combines the classical linear regression likelihood with prior distributions over the coefficients and error variance. Rather than reporting point estimates, it produces full posterior distributions that quantify both estimated effects and their uncertainty. The approach is especially valuable when prior knowledge is available or when samples are small.

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Source record

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

Bayesian Ordinary Least Squares Regression
Taxonomic method record · regression-model / econometrics
  • Zellner, A. (1971). An Introduction to Bayesian Inference in Econometrics. Wiley. · ISBN 978-0471169376
  • Koop, G. (2003). Bayesian Econometrics. Wiley-Interscience. · ISBN 978-0470845677
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Curated claims

Claims persisted in the evidence ledger, each with its own assessment.

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Related methods

Generated from the method graph and shown as machine-suggested relations — no evidence claim is inferred.

Taxonomic bucketBayesian Fixed Effects Modelmachine-suggested · Relational suggestion, not evidence.Taxonomic bucketBayesian Random Effects Modelmachine-suggested · Relational suggestion, not evidence.Taxonomic bucketBayesian VAR modelmachine-suggested · Relational suggestion, not evidence.Same method familyOLS Regressionmachine-suggested · Relational suggestion, not evidence.See alsoRidge Regressionmachine-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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