Robustness of Bayes Prediction Under Error-in-Variables Superpopulation Model

DOI10.1080/03610920902750046zbMath1185.62055OpenAlexW1997683303MaRDI QIDQ5190606

Ashok K. Bansal, Priyanka Aggarwal

Publication date: 18 March 2010

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

Full work available at URL: https://doi.org/10.1080/03610920902750046

zbMATH Keywords

tablesKullback-Leibler distancebalanced loss functionBayes predictorrelative savings losserror-in-variables modelrelative lossEdgeworth priorminimal Bayes predictive expected loss

Mathematics Subject Classification ID

Bayesian inference (62F15) Robustness and adaptive procedures (parametric inference) (62F35) Sampling theory, sample surveys (62D05)

Related Items (1)

Bayes Prediction for a Stratified Regression Superpopulation Model Using Balanced Loss Function

Cites Work

• Bayes and minimax prediction in finite populations
• Finite-population prediction under error-in-variables superpopulation models
• Bayes Predictor of One-Parameter Exponential Family Type Population Mean Under Balanced Loss Function
• Bayes Prediction for a Heteroscedastic Regression Superpopulation Model Using Balanced Loss Function
• Robustness of a bayes estimator for the mean of a normal population with nonnormal prior

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