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Bayesian Multiple linear regression

Bayesian Multiple Linear Regression models a continuous outcome as a linear combination of several predictors, but instead of producing a single point estimate it yields a full posterior distribution over all regression coefficients and the error variance. This makes uncertainty quantification explicit and allows seamlessly incorporating prior knowledge from theory or previous studies.

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Bayesian Multiple Linear Regression

Taksonoomiline meetodikirje · regression-model / statistics

Gelman, A., Carlin, J. B., Stern, H. S., Dunson, D. B., Vehtari, A., & Rubin, D. B. (2013). Bayesian Data Analysis (3rd ed.). CRC Press. · ISBN 978-1439840955
Zellner, A. (1971). An Introduction to Bayesian Inference in Econometrics. Wiley. · ISBN 978-0471980650

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Taxonomic bucketBayesian Generalized Linear Modelmachine-suggested · Relational suggestion, not evidence.Taxonomic bucketBayesian Hierarchical Linear Modelmachine-suggested · Relational suggestion, not evidence.Taxonomic bucketBayesian Simple linear regressionmachine-suggested · Relational suggestion, not evidence.See alsoLasso Regressionmachine-suggested · Relational suggestion, not evidence.Same method familyOLS Regressionmachine-suggested · Relational suggestion, not evidence.See alsoRidge Regressionmachine-suggested · Relational suggestion, not evidence.