A bayesian approach to prediction in the presence of spurious observations for several models

DOI10.1080/03610928408828721zbMath0557.62031OpenAlexW1967719612MaRDI QIDQ3221195

Jack Gambino, Irwin Guttman

Publication date: 1984

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

Full work available at URL: https://doi.org/10.1080/03610928408828721

zbMATH Keywords

multivariate tmultivariate normal distributionspuriositygeneral linear model with normal errorspredictive distributions of future observationspredictive means as estimatorsStudent-Siegal distributions

Mathematics Subject Classification ID

Estimation in multivariate analysis (62H12) Bayesian inference (62F15) Robustness and adaptive procedures (parametric inference) (62F35)

Related Items (2)

Bayesian Estimation of the Regression Model with Autocorrelated Errors Under Contamination ⋮ Bayesian assessment of assumptions of regression analysis

Cites Work

• Do robust estimators work with real data?
• A Bayesian approach to some outlier problems

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