A comparison of the estimative and predictive methods of estimating posterior probabilities

DOI10.1080/03610927908827807zbMath0412.62039OpenAlexW1979147591MaRDI QIDQ4199374

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Publication date: 1979

Published in: Communications in Statistics - Theory and Methods (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/03610927908827807

zbMATH Keywords

comparisonasymptotic biasmultivariate normal populationsposterior probabilityprior probabilitypredictive methodestimative method of estimation

Mathematics Subject Classification ID

Classification and discrimination; cluster analysis (statistical aspects) (62H30)

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An extension of geisser's discrimination model to proportional covariance matrices, Interval estimates for posterior probabilities in a multivariate normal classification model

Cites Work

• The biases associated with maximum likelihood methods of estimation of the multivariate logistic risk function
• Separate sample logistic discrimination
• On Information and Sufficiency