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Bayesian Discriminant Analysis/Evidence
Method evidence record

Bayesian Discriminant Analysis

Bayesian discriminant analysis assigns observations to predefined groups by combining a multivariate Gaussian likelihood for each class with prior distributions over the class means and covariance matrices. Posterior predictive probabilities replace point-estimate decision boundaries, providing principled uncertainty quantification for classification in small or high-dimensional samples.

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Source record

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

Bayesian Discriminant Analysis
Taxonomic method record · latent-structure / statistics
  • Geisser, S. (1964). Posterior odds for multivariate normal classifications. Journal of the Royal Statistical Society, Series B, 26(1), 69–76. · URL
  • Minka, T. P. (2000). Bayesian linear regression. Technical Report, MIT Media Lab. · URL
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Related methods

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

Taxonomic bucketBayesian Cluster Analysismachine-suggested · Relational suggestion, not evidence.Same method familyBayesian Confirmatory Factor Analysismachine-suggested · Relational suggestion, not evidence.Taxonomic bucketBayesian Latent Class Analysismachine-suggested · Relational suggestion, not evidence.Taxonomic bucketDiscriminant Analysismachine-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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