Robust Bayesian prediction under a general linear-exponential posterior risk function and its application in finite population

DOI10.1080/03610926.2017.1383425OpenAlexW2757674887MaRDI QIDQ5160252

Razieh Jafaraghaie, Nader Nematollahi

Publication date: 28 October 2021

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

Full work available at URL: https://doi.org/10.1080/03610926.2017.1383425

zbMATH Keywords

predictionfinite populationrobust Bayesian analysisposterior regret gamma-minimaxconditional gamma-minimaxlinear-exponential lossmost stable predictor

Mathematics Subject Classification ID

Bayesian inference (62F15) Bayesian problems; characterization of Bayes procedures (62C10) Robustness and adaptive procedures (parametric inference) (62F35) Sampling theory, sample surveys (62D05) Minimax procedures in statistical decision theory (62C20)

Related Items (3)

A Unified Theory for Robust Bayesian Prediction Under a General Class of Regret Loss Functions ⋮ Prediction of finite population parameters using parametric model under some loss functions ⋮ Robust Bayesian estimator in a normal model with uncertain hierarchical priors

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