The effect of mixing‐distribution misspecification in conjugate mixture models

DOI10.2307/3315741zbMath0863.62021OpenAlexW2038692007MaRDI QIDQ5691189

Paul Gustafson

Publication date: 3 June 1997

Published in: Canadian Journal of Statistics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.2307/3315741

zbMATH Keywords

robustnessasymptotic biashierarchical modelclustered datamixing distributionconditional distributionmixture modelsmodel misspecificationmarginal distributionbeta-binomialresponse variablemaximum-likelihood estimatorsinfinitesimal contaminationcluster-specificlatter distribution

Mathematics Subject Classification ID

Asymptotic properties of parametric estimators (62F12) Bayesian inference (62F15) Robustness and adaptive procedures (parametric inference) (62F35)

Related Items (3)

Random-intercept misspecification in generalized linear mixed models for binary responses ⋮ On robustness of maximum likelihood estimates for Poisson-lognormal models. ⋮ Bias of the structural quasi-score estimator of a measurement error model under misspecification of the regressor distribution

Cites Work

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• Robust Bayesian analysis of the binomial empirical Bayes problem
• The range of the (n + 1)th moment for distributions on [0, 1]
• Maximum Likelihood Estimation of Misspecified Models

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